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王华庆

教授 博士研究生毕业

部门: 研究生院(党委研究生工作部)

研究方向: 设备故障智能诊断与预测、智能运维

电子邮箱: hqwang@mail.buct.edu.cn

办公地址: 行政楼200D/科技大厦201

ORCID: 0000-0001-5333-0829

DBLP:

10 Visits

个人简介

王华庆 博士、教授、博士生导师    

现为北京化工大学机电工程学院/高端机械装备健康监控与自愈化北京市重点实验室/发动机健康监控及网络化教育部重点实验室教授党委研究生工作部常务副部长。1995年毕业于北京化工大学并留校任教,200510月经国家留学基金委遴选获日本文部省奖学金公派赴日本国立三重大学(Mie University)攻读博士学位,20093月获博士学位并归国,2010年入选北京市优秀人才培养资助计划2012年入选教育部新世纪优秀人才支持计划优秀研究生导师、教学名师、主讲《材料力学》、《理论力学》、《静力学》、《工程力学》等本科生课程设备状态监测与故障诊断》(在线课程上线国家高等教育智慧教育平台:https://www.gradsmartedu.cn/course/buct08021007208与学堂在线:https://www.xuetangx.com/course/buctP0855KC007208)、《动力工程学科进展与研讨》、《研究生学科前沿导论》等研究生课程

研究领域:机械装备智能运维,主要涉及设备故障智能诊断与预测、状态监测与预警、信号处理与特征提取、微弱故障特征增强、多源耦合信号分离、动力学建模与故障机理分析、稀疏算法、迁移学习、深度学习与模式识别等。

主要研究成果:近年来,作为项目负责人主持科技部重点研发计划课题1项、国家自然科学基金面上项目4项、基础预研项目等省部级纵向项目10余项。以第一或通讯作者在MSSPIEEE TFSIEEE TIMIEEE Sensors Journal、机械工程学报、振动工程学报等期刊及会议发表SCI/EI论文100余篇,其中ESI高被引论文14篇,热点论文2篇;出版专著1部、编著教材1部、参编著作2部,获授权发明专利12项。获国家科技进步二等奖1项(2001年),中国石化局科技进步一等奖1项(1998年),教育部自然科学二等奖1项(2019年),中国振动工程学会科学技术二等奖1项(2020年),北京市自然科学二等奖1项(2021年),中国石化联合会科技进步一等奖1项(2022年)。

主要学术职:中国设备管理协会监事会监事长,中国设备管理协会设备诊断工程委员会主任委员兼秘书长,中国机械工程学会设备智能运维分会副主任委员,校学术委员会委员,Journal of Dynamics Monitoring and Diagnostics、《北京化工大学学报(自然科学版)》等期刊编委,机械设备健康维护湖南省重点实验室学术委员会委员,机电系统测控北京市重点实验室学术委员会委员,江苏大学客座教授。

教育经历 工作经历

入学时间 毕业时间 学位授予单位 学历
2005-10-01 2009-03-25 日本国立三重大学 博士研究生毕业
1999-09-01 2002-06-01 北京化工大学 硕士研究生毕业
1991-09-01 1995-08-01 北京化工大学 大学本科毕业
起始年月 截止年月 所在单位名称
2009-03-31 至今 北京化工大学
1999-10-02 2005-09-30 北京化工大学
1995-08-01 1999-10-01 北京化工大学

社会职务

主要社会兼职:

  • 中国设备管理协会监事会监事长;

  • 中国设备管理协会设备诊断工程委员会主任委员兼秘书长;

  • 中国机械工程学会设备智能运维分会副主任委员;

  • 校学术委员会委员;

  • Journal of Dynamics Monitoring and Diagnostics编委

  • 《北京化工大学学报(自然科学版)》编委

  • 《设备管理与维修》编委;

  • 机械设备健康维护湖南省重点实验室学术委员会委员;

  • 机电系统测控北京市重点实验室学术委员会委员;

  • 江苏大学客座教授。

社会活动

研究领域

研究领域为机械装备智能运维,主要研究方向:
  • 设备故障智能诊断与预测;
  • 状态监测与预警;

  • 信号处理与特征提取;

  • 微弱故障特征增强;

  • 多源耦合信号分离;

  • 动力学建模与故障机理分析;

  • 压缩感知与稀疏算法;

  • 迁移学习、深度学习与模式识别等。


本科生

课程名称 开课学年 课程总学时 选课人数 课程性质
静力学 2022 40 81 专业必修
材料力学 2021 48 88 专业必修
静力学 2021 40 74 专业必修
材料力学 2020 48 80 专业必修
静力学 2020 40 82 专业必修
安全工程初级研讨课 2020 16 151 专业选修
材料力学 2019 48 85 专业必修
静力学 2019 40 76 专业必修

研究生

课程名称 开课学年 总学时 开课方式
设备状态监测与诊断 2022 24 A公共基础课
设备状态监测与诊断 2021 24 A公共基础课
设备状态监测与诊断 2020 24 A公共基础课
设备状态监测与诊断 2019 24 A公共基础课
设备状态监测与诊断 2018 32 D专业选修课
行业发展前沿 2018 16 D专业选修课

校级项目

纵向项目

  • 1. 基于孪生大数据与知识驱动的故障诊断与预警技术 ,国家重点研发计划,项目时间:2022-11-01 至 2025-10-31
  • 2. 旋转机械跨工况深度迁移诊断算法研究 ,其他课题,项目时间:2021-12-01 至 2023-12-31
  • 3. 主轴轴承多维稀疏表征与深度迁移学习智能诊断方法研究 ,国家自然科学基金项目,项目时间:2021-01-01 至 2024-12-31
  • 4. 基于压缩感知的主轴轴承强欠定多源信号分离与同步诊断方法 ,国家自然科学基金项目,项目时间:2017-01-01 至 2020-12-31
  • 5. 2016年智能制造综合标准化与新模式项目-化工行业智能设备互联互通及互操作规范和试验验证平台 ,国务院其他部门,项目时间:2016-12-01 至 2018-12-31
  • 6. 状态监测与诊断工程管理国际论坛 ,国务院其他部门,项目时间:2016-01-01 至 2016-12-31
  • 7. 压缩机组复杂系统振动故障机理及可监测诊断设计方法(后三年) ,“973”计划,项目时间:2014-01-01 至 2016-08-31
  • 8. 航空发动机主轴轴承故障特征提取、智能诊断及预示方法研究 ,国家自然科学基金项目,项目时间:2014-01-01 至 2017-12-31
  • 9. 2014年全国设备监测诊断与维护学术会议 ,省、市、自治区科技项目,项目时间:2014-01-01 至 2014-12-01
  • 10. 航空发动机轴承监测及故障早期预警关键技术研究 ,主管部门科技项目,项目时间:2013-01-01 至 2015-12-31
  • 11. 机械故障无线传感网络监测与智能诊断方法研究 ,国家自然科学基金项目,项目时间:2011-01-01 至 2013-12-31

横向项目

  • 1. 风力发电机典型故障试验测试与分析 ,自选课题,项目时间:2021-06-08 至 2022-06-08
  • 2. 基于人工智能算法的发动机振动故障预测方法研究 ,企事业单位委托科技项目,项目时间:2020-07-14 至 2022-04-30

论文信息

代表性论文
[+][-] 2023年
  • 1. DOI Han, Changkun,Lu, Wei,王华庆,宋浏阳,Cui, Lingli
    Multistate fault diagnosis strategy for bearings based on an improved convolutional sparse coding with priori periodic filter group[期刊论文],MECHANICAL SYSTEMS AND SIGNAL PROCESSING,2023-04-01
  • 2. DOI 王华庆,林天骄,Cui, Lingli,马波,Dong, Zuoyi,宋浏阳
    Multitask Learning-Based Self-Attention Encoding Atrous Convolutional Neural Network for Remaining Useful Life Prediction[期刊论文],IEEE Transactions on Instrumentation and Measurement,2022-01-01
  • 3. DOI Cui, Lingli,Li, Wenjie,Wang, Xin,Zhao, Dezun,王华庆
    Comprehensive Remaining Useful Life Prediction for Rolling Element Bearings Based on Time-Varying Particle Filtering[期刊论文],IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT,2022-01-01
  • 4. DOI 王芃鑫,宋浏阳,郭旭东,王华庆,Cui, Lingli
    A High-Stability Diagnosis Model Based on a Multiscale Feature Fusion Convolutional Neural Network[期刊论文],IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT,2021-01-01
  • 5. DOI 王华庆,Li, Shi,宋浏阳,Cui, Lingli,Wang, Pengxin
    An Enhanced Intelligent Diagnosis Method Based on Multi-Sensor Image Fusion via Improved Deep Learning Network[期刊论文],IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT,2020-06-01
  • 6. DOI 王华庆,Ren, Bangyue,宋浏阳,Cui, Lingli
    A Novel Weighted Sparse Representation Classification Strategy Based on Dictionary Learning for Rotating Machinery[期刊论文],IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT,2020-03-01
  • 7. DOI 王华庆,任帮月,宋浏阳,董方,王梦阳
    基于终止准则改进K-SVD字典学习的稀疏表示特征增强方法[期刊论文],机械工程学报,2019-01-25
  • 8. DOI 王华庆,Li, Shi,宋浏阳,Cui, Lingli
    A novel convolutional neural network based fault recognition method via image fusion of multi-vibration-signals[期刊论文],COMPUTERS IN INDUSTRY,2019-02-01
  • 9. DOI Hao, Yansong,宋浏阳,Ren, Bangyue,王华庆,Cui, Lingli
    Step-by-Step Compound Faults Diagnosis Method for Equipment Based on Majorization-Minimization and Constraint SCA[期刊论文],IEEE-ASME TRANSACTIONS ON MECHATRONICS,2019-12-01
  • 10. DOI 宋浏阳,王华庆,Chen, Peng
    Vibration-Based Intelligent Fault Diagnosis for Roller Bearings in Low-Speed Rotating Machinery[期刊论文],IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT,2018-03-20
  • 11. DOI 宋浏阳,王华庆,Chen, Peng
    Step-by-Step Fuzzy Diagnosis Method for Equipment Based on Symptom Extraction and Trivalent Logic Fuzzy Diagnosis Theory[期刊论文],IEEE TRANSACTIONS ON FUZZY SYSTEMS,2018-12-01
  • 12. DOI 林天骄,王华庆,郭旭东,王芃鑫,宋浏阳
    A novel prediction network for remaining useful life of rotating machinery[期刊论文],INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY,2023-02-01
  • 13. DOI Cui, Lingli,Yang, Mei,Liu, Dongdong,王华庆
    The diagnosis of gear and bearing compound faults via adapted dictionary-free orthogonal matching pursuit and spectral negentropy[期刊论文],MEASUREMENT,2023-01-01
  • 14. DOI 王华庆,佟兴伟,王芃鑫,徐智涛,宋浏阳
    Few-shot transfer learning method based on meta-learning and graph convolution network for machinery fault diagnosis[期刊论文],Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science,2023-01-01
  • 15. DOI 王华庆,张玺森,郭旭东,林天骄,宋浏阳
    Remaining useful life prediction of bearings based on multiple-feature fusion health indicator and weighted temporal convolution network[期刊论文],Measurement Science and Technology,2022-10-01
  • 16. DOI Wang, Xin,Cui, Lingli,王华庆
    Remaining Useful Life Prediction of Rolling Element Bearings Based on Hybrid Drive of Data and Model[期刊论文],IEEE SENSORS JOURNAL,2022-09-01
  • 17. DOI Han, Changkun,Lu, Wei,王芃鑫,宋浏阳,王华庆
    A time-frequency sparse strategy based on optimal flux atom and scale lp approximation operator[期刊论文],Measurement Science and Technology,2022-07-01
  • 18. DOI 王芃鑫,宋浏阳,王华庆,Han, Changkun,郭旭东,Cui, Lingli
    Grouping sparse filtering: a novel down-sampling approach toward rotating machine intelligent diagnosis in 1D-convolutional neural networks[期刊论文],MEASUREMENT SCIENCE AND TECHNOLOGY,2022-06-01
  • 19. DOI 付饶,李天庆,段军,陈学斌,王华庆,王峰
    An Air Filtration Technology Based on High Gravity Rotating Bed[会议论文],2021 International Workshop on Pharmaceutical and Clinical Research(WPCR2021),28September 2021,Virtualevent,2022-05-03
  • 20. DOI Xue, Hongtao,Ding, Dianyong,Zhang, Ziming,Wu, Meng,王华庆
    A fuzzy system of operation safety assessment using multi-model linkage and multi-stage collaboration for in-wheel motor[期刊论文],IEEE Transactions on Fuzzy Systems,2022-04-09
  • 21. DOI Han, Changkun,Lu, Wei,王芃鑫,宋浏阳,王华庆
    A recursive sparse representation strategy for bearing fault diagnosis[期刊论文],Measurement: Journal of the International Measurement Confederation,2022-01-01
  • 22. DOI 郭青,肖宇峰,王华庆,Yu, Ming-An,Wei, Ying,Zhao, Zhenlong
    A Benchmark and Transformer-based Approach for Automated Hyperparathyroidism Detection[会议论文],Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics,2022-01-01
  • 23. DOI Zhang, Wenbo,林天骄,王华庆,宋浏阳
    ConvNeXt-CNN Based Intelligent Fault Diagnosis Method for Rotating Equipment[会议论文],2022 International Conference on Sensing, Measurement and Data Analytics in the Era of Artificial Intelligence, ICSMD 2022 - Proceedings,2022-01-01
  • 24. DOI 徐智涛,佟兴伟,宋浏阳,王华庆
    An open set compound fault diagnosis method for gearboxes based on weighted domain adaptation[会议论文],2022 International Conference on Sensing, Measurement and Data Analytics in the Era of Artificial Intelligence, ICSMD 2022 - Proceedings,2022-01-01
  • 25. DOI Zhang, Hongjie,Han, Changkun,宋浏阳,王华庆
    Fault diagnosis method of rolling bearing based on Group-Sparsity Learning[会议论文],2022 International Conference on Sensing, Measurement and Data Analytics in the Era of Artificial Intelligence, ICSMD 2022 - Proceedings,2022-01-01
  • 26. DOI Jin, Ye,林天骄,张玺森,王华庆,宋浏阳,Bin, Guangfu
    Reaming Useful Life Prediction of Bearings Based on CNN and Encoder Layers[会议论文],2022 International Conference on Sensing, Measurement and Data Analytics in the Era of Artificial Intelligence, ICSMD 2022 - Proceedings,2022-01-01
  • 27. DOI 王华庆,刘泽源,卢威,宋浏阳,韩长坤
    频域组稀疏滚动轴承特征提取方法[期刊论文],振动工程学报,2021-10-28
  • 28. DOI 夏信强,王华庆,宋浏阳
    改进的MVMD结合LNMF的复合故障轴承信号分离研究[会议论文],第十四届全国振动理论及应用学术会议(NVTA2021)摘要集,2021-10-23
  • 29. DOI 徐智涛,宋浏阳,王峰,王华庆
    域适应神经网络滚动轴承跨工况迁移诊断方法[会议论文],第十四届全国振动理论及应用学术会议(NVTA2021)摘要集,2021-10-23
  • 30. DOI 张玺森,宋浏阳,郭旭东,王华庆
    基于域融合健康指标和时间卷积神经网络的轴承退化趋势预测方法[会议论文],第十四届全国振动理论及应用学术会议(NVTA2021)摘要集,2021-10-23
  • 31. DOI 佟兴伟,宋浏阳,王华庆
    机理仿真与数据驱动融合的GAN样本生成方法研究[会议论文],第十四届全国振动理论及应用学术会议(NVTA2021)摘要集,2021-10-23
  • 32. DOI 郭青,蒋梓珣,王华庆,于明安,赵朕龙
    Automatic Segmentation of Dynamic Thyroid Ultrasound Images Based on An Improved DRLSE Model [会议论文],IEEE Xplore,2021-10-22
  • 33. DOI 王芃鑫,宋浏阳,郝彦嵩,王华庆,Li, Shi,Cui, Lingli
    A light intelligent diagnosis model based on improved Online Dictionary Learning sample-making and simplified convolutional neural network[期刊论文],MEASUREMENT,2021-10-01
  • 34. DOI 林天骄,王华庆,宋浏阳,Cui, Lingli
    A Novel Feature-Transferred Prediction Network for Remaining Useful Life of Rotating Machinery[会议论文],ResearchSquare,2021-10-01
  • 35. DOI 李俊林,王华庆,宋浏阳
    A novel sparse feature extraction method based on sparse signal via dual-channel self-adaptive TQWT[期刊论文],CHINESE JOURNAL OF AERONAUTICS,2021-07-01
  • 36. DOI Cui, Lingli,Sun, Yin,Wang, Xin,王华庆
    Spectrum-Based, Full-Band Preprocessing, and Two-Dimensional Separation of Bearing and Gear Compound Faults Diagnosis[期刊论文],IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT,2021-01-01
  • 37. DOI 肖江涛,宋浏阳,郭旭东,刘锦涛,王华庆,Xu, Fujian
    A Novel Model of Bearing Fault Diagnosis Based on Convolutional Auto-encoder and Capsule Network[会议论文],2021 Global Reliability and Prognostics and Health Management, PHM-Nanjing 2021,2021-01-01
  • 38. DOI 郭旭东,王芃鑫,王华庆,肖江涛,宋浏阳
    Remaining Useful Life Prediction of Mechanical Equipment Based on Temporal Convolutional Network and Asymmetric Loss Function[会议论文],2021 Global Reliability and Prognostics and Health Management, PHM-Nanjing 2021,2021-01-01
  • 39. DOI Han, Changkun,卢威,王芃鑫,宋浏阳,王华庆
    A Novel Method for Enhancing Bearing Fault Feature Based on Sparse Group Lasso[会议论文],Proceedings of 2021 IEEE International Conference on Sensing, Diagnostics, Prognostics, and Control, SDPC 2021,2021-01-01
  • 40. DOI 林天骄,王华庆,宋浏阳,马波,Dong, Zuoyi
    Multi-task Learning Based Classified-assisted Prediction Network for Remaining Useful Life Prediction[会议论文],ICSMD 2021 - 2nd International Conference on Sensing, Measurement and Data Analytics in the Era of Artificial Intelligence,2021-01-01
  • 41. DOI 林天骄,宋浏阳,李石,王华庆,徐福建
    基于空洞卷积神经网络的旋转机械故障诊断方法[期刊论文],测控技术,2020-12-18
  • 42. DOI 王陶冶,马骏,王华庆
    后疫情时代下高校研究生党建工作的再思考[期刊论文],北京教育(高教),2020-12-10
  • 43. DOI 卢威,宋浏阳,Cui, Lingli,王华庆
    A Novel Weak Fault Diagnosis Method Based on Sparse Representation and Empirical Wavelet Transform for Rolling Bearing[会议论文],International Conference on Sensing, Measurement and Data Analytics in the Era of Artificial Intelligence, ICSMD 2020 - Proceedings,2020-10-15
  • 44. DOI 宋浏阳,王华庆,Chen Peng
    Automatic Patrol and Inspection Method for Machinery Diagnosis Robot-Sound Signal-Based Fuzzy Search Approach[期刊论文],IEEE Sensors Journal,2020-08-01
  • 45. DOI Cui, Lingli,Wang, Xin,王华庆,Ma, Jianfeng
    Research on Remaining Useful Life Prediction of Rolling Element Bearings Based on Time-Varying Kalman Filter[期刊论文],IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT,2020-06-01
  • 46. DOI Li, Guozheng,唐刚,王华庆,Wang, Yanan
    Blind source separation of composite bearing vibration signals with low-rank and sparse decomposition[期刊论文],MEASUREMENT,2019-10-01
  • 47. DOI 宋浏阳,李石,王芃鑫,王华庆
    基于动态统计滤波与深度学习的智能故障诊断方法[期刊论文],仪器仪表学报,2019-07-15
  • 48. DOI 宋浏阳,王华庆,Chen, Peng
    Intelligent diagnosis method for machinery by sequential auto-reorganization of histogram[期刊论文],ISA TRANSACTIONS,2019-04-01
  • 49. DOI Li, Guozheng,唐刚,Luo, Ganggang,王华庆
    Underdetermined blind separation of bearing faults in hyperplane space with variational mode decomposition[期刊论文],MECHANICAL SYSTEMS AND SIGNAL PROCESSING,2019-04-01
  • 50. DOI Hao, Yansong,宋浏阳,Cui, Lingli,王华庆
    A three-dimensional geometric features-based SCA algorithm for compound faults diagnosis[期刊论文],MEASUREMENT,2019-02-01
  • 51. DOI Song, Liuyang,Chen, Peng,王华庆,Kato, Miki
    Intelligent Condition Diagnosis Method for Rotating Machinery Based on Probability Density and Discriminant Analyses[期刊论文],IEEE SIGNAL PROCESSING LETTERS,2016-08-01
  • 52. DOI Cui, Lingli,Wu, Na,Ma, Chunqing,王华庆
    Quantitative fault analysis of roller bearings based on a novel matching pursuit method with a new step-impulse dictionary[期刊论文],MECHANICAL SYSTEMS AND SIGNAL PROCESSING,2016-02-01
[+][-]2022年
  • 1. DOI Han, Changkun,Lu, Wei,王华庆,宋浏阳,Cui, Lingli
    Multistate fault diagnosis strategy for bearings based on an improved convolutional sparse coding with priori periodic filter group[期刊论文],MECHANICAL SYSTEMS AND SIGNAL PROCESSING,2023-04-01
  • 2. DOI 王华庆,林天骄,Cui, Lingli,马波,Dong, Zuoyi,宋浏阳
    Multitask Learning-Based Self-Attention Encoding Atrous Convolutional Neural Network for Remaining Useful Life Prediction[期刊论文],IEEE Transactions on Instrumentation and Measurement,2022-01-01
  • 3. DOI Cui, Lingli,Li, Wenjie,Wang, Xin,Zhao, Dezun,王华庆
    Comprehensive Remaining Useful Life Prediction for Rolling Element Bearings Based on Time-Varying Particle Filtering[期刊论文],IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT,2022-01-01
  • 4. DOI 王芃鑫,宋浏阳,郭旭东,王华庆,Cui, Lingli
    A High-Stability Diagnosis Model Based on a Multiscale Feature Fusion Convolutional Neural Network[期刊论文],IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT,2021-01-01
  • 5. DOI 王华庆,Li, Shi,宋浏阳,Cui, Lingli,Wang, Pengxin
    An Enhanced Intelligent Diagnosis Method Based on Multi-Sensor Image Fusion via Improved Deep Learning Network[期刊论文],IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT,2020-06-01
  • 6. DOI 王华庆,Ren, Bangyue,宋浏阳,Cui, Lingli
    A Novel Weighted Sparse Representation Classification Strategy Based on Dictionary Learning for Rotating Machinery[期刊论文],IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT,2020-03-01
  • 7. DOI 王华庆,任帮月,宋浏阳,董方,王梦阳
    基于终止准则改进K-SVD字典学习的稀疏表示特征增强方法[期刊论文],机械工程学报,2019-01-25
  • 8. DOI 王华庆,Li, Shi,宋浏阳,Cui, Lingli
    A novel convolutional neural network based fault recognition method via image fusion of multi-vibration-signals[期刊论文],COMPUTERS IN INDUSTRY,2019-02-01
  • 9. DOI Hao, Yansong,宋浏阳,Ren, Bangyue,王华庆,Cui, Lingli
    Step-by-Step Compound Faults Diagnosis Method for Equipment Based on Majorization-Minimization and Constraint SCA[期刊论文],IEEE-ASME TRANSACTIONS ON MECHATRONICS,2019-12-01
  • 10. DOI 宋浏阳,王华庆,Chen, Peng
    Vibration-Based Intelligent Fault Diagnosis for Roller Bearings in Low-Speed Rotating Machinery[期刊论文],IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT,2018-03-20
  • 11. DOI 宋浏阳,王华庆,Chen, Peng
    Step-by-Step Fuzzy Diagnosis Method for Equipment Based on Symptom Extraction and Trivalent Logic Fuzzy Diagnosis Theory[期刊论文],IEEE TRANSACTIONS ON FUZZY SYSTEMS,2018-12-01
  • 12. DOI 林天骄,王华庆,郭旭东,王芃鑫,宋浏阳
    A novel prediction network for remaining useful life of rotating machinery[期刊论文],INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY,2023-02-01
  • 13. DOI Cui, Lingli,Yang, Mei,Liu, Dongdong,王华庆
    The diagnosis of gear and bearing compound faults via adapted dictionary-free orthogonal matching pursuit and spectral negentropy[期刊论文],MEASUREMENT,2023-01-01
  • 14. DOI 王华庆,佟兴伟,王芃鑫,徐智涛,宋浏阳
    Few-shot transfer learning method based on meta-learning and graph convolution network for machinery fault diagnosis[期刊论文],Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science,2023-01-01
  • 15. DOI 王华庆,张玺森,郭旭东,林天骄,宋浏阳
    Remaining useful life prediction of bearings based on multiple-feature fusion health indicator and weighted temporal convolution network[期刊论文],Measurement Science and Technology,2022-10-01
  • 16. DOI Wang, Xin,Cui, Lingli,王华庆
    Remaining Useful Life Prediction of Rolling Element Bearings Based on Hybrid Drive of Data and Model[期刊论文],IEEE SENSORS JOURNAL,2022-09-01
  • 17. DOI Han, Changkun,Lu, Wei,王芃鑫,宋浏阳,王华庆
    A time-frequency sparse strategy based on optimal flux atom and scale lp approximation operator[期刊论文],Measurement Science and Technology,2022-07-01
  • 18. DOI 王芃鑫,宋浏阳,王华庆,Han, Changkun,郭旭东,Cui, Lingli
    Grouping sparse filtering: a novel down-sampling approach toward rotating machine intelligent diagnosis in 1D-convolutional neural networks[期刊论文],MEASUREMENT SCIENCE AND TECHNOLOGY,2022-06-01
  • 19. DOI 付饶,李天庆,段军,陈学斌,王华庆,王峰
    An Air Filtration Technology Based on High Gravity Rotating Bed[会议论文],2021 International Workshop on Pharmaceutical and Clinical Research(WPCR2021),28September 2021,Virtualevent,2022-05-03
  • 20. DOI Xue, Hongtao,Ding, Dianyong,Zhang, Ziming,Wu, Meng,王华庆
    A fuzzy system of operation safety assessment using multi-model linkage and multi-stage collaboration for in-wheel motor[期刊论文],IEEE Transactions on Fuzzy Systems,2022-04-09
  • 21. DOI Han, Changkun,Lu, Wei,王芃鑫,宋浏阳,王华庆
    A recursive sparse representation strategy for bearing fault diagnosis[期刊论文],Measurement: Journal of the International Measurement Confederation,2022-01-01
  • 22. DOI 郭青,肖宇峰,王华庆,Yu, Ming-An,Wei, Ying,Zhao, Zhenlong
    A Benchmark and Transformer-based Approach for Automated Hyperparathyroidism Detection[会议论文],Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics,2022-01-01
  • 23. DOI Zhang, Wenbo,林天骄,王华庆,宋浏阳
    ConvNeXt-CNN Based Intelligent Fault Diagnosis Method for Rotating Equipment[会议论文],2022 International Conference on Sensing, Measurement and Data Analytics in the Era of Artificial Intelligence, ICSMD 2022 - Proceedings,2022-01-01
  • 24. DOI 徐智涛,佟兴伟,宋浏阳,王华庆
    An open set compound fault diagnosis method for gearboxes based on weighted domain adaptation[会议论文],2022 International Conference on Sensing, Measurement and Data Analytics in the Era of Artificial Intelligence, ICSMD 2022 - Proceedings,2022-01-01
  • 25. DOI Zhang, Hongjie,Han, Changkun,宋浏阳,王华庆
    Fault diagnosis method of rolling bearing based on Group-Sparsity Learning[会议论文],2022 International Conference on Sensing, Measurement and Data Analytics in the Era of Artificial Intelligence, ICSMD 2022 - Proceedings,2022-01-01
  • 26. DOI Jin, Ye,林天骄,张玺森,王华庆,宋浏阳,Bin, Guangfu
    Reaming Useful Life Prediction of Bearings Based on CNN and Encoder Layers[会议论文],2022 International Conference on Sensing, Measurement and Data Analytics in the Era of Artificial Intelligence, ICSMD 2022 - Proceedings,2022-01-01
  • 27. DOI 王华庆,刘泽源,卢威,宋浏阳,韩长坤
    频域组稀疏滚动轴承特征提取方法[期刊论文],振动工程学报,2021-10-28
  • 28. DOI 夏信强,王华庆,宋浏阳
    改进的MVMD结合LNMF的复合故障轴承信号分离研究[会议论文],第十四届全国振动理论及应用学术会议(NVTA2021)摘要集,2021-10-23
  • 29. DOI 徐智涛,宋浏阳,王峰,王华庆
    域适应神经网络滚动轴承跨工况迁移诊断方法[会议论文],第十四届全国振动理论及应用学术会议(NVTA2021)摘要集,2021-10-23
  • 30. DOI 张玺森,宋浏阳,郭旭东,王华庆
    基于域融合健康指标和时间卷积神经网络的轴承退化趋势预测方法[会议论文],第十四届全国振动理论及应用学术会议(NVTA2021)摘要集,2021-10-23
  • 31. DOI 佟兴伟,宋浏阳,王华庆
    机理仿真与数据驱动融合的GAN样本生成方法研究[会议论文],第十四届全国振动理论及应用学术会议(NVTA2021)摘要集,2021-10-23
  • 32. DOI 郭青,蒋梓珣,王华庆,于明安,赵朕龙
    Automatic Segmentation of Dynamic Thyroid Ultrasound Images Based on An Improved DRLSE Model [会议论文],IEEE Xplore,2021-10-22
  • 33. DOI 王芃鑫,宋浏阳,郝彦嵩,王华庆,Li, Shi,Cui, Lingli
    A light intelligent diagnosis model based on improved Online Dictionary Learning sample-making and simplified convolutional neural network[期刊论文],MEASUREMENT,2021-10-01
  • 34. DOI 林天骄,王华庆,宋浏阳,Cui, Lingli
    A Novel Feature-Transferred Prediction Network for Remaining Useful Life of Rotating Machinery[会议论文],ResearchSquare,2021-10-01
  • 35. DOI 李俊林,王华庆,宋浏阳
    A novel sparse feature extraction method based on sparse signal via dual-channel self-adaptive TQWT[期刊论文],CHINESE JOURNAL OF AERONAUTICS,2021-07-01
  • 36. DOI Cui, Lingli,Sun, Yin,Wang, Xin,王华庆
    Spectrum-Based, Full-Band Preprocessing, and Two-Dimensional Separation of Bearing and Gear Compound Faults Diagnosis[期刊论文],IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT,2021-01-01
  • 37. DOI 肖江涛,宋浏阳,郭旭东,刘锦涛,王华庆,Xu, Fujian
    A Novel Model of Bearing Fault Diagnosis Based on Convolutional Auto-encoder and Capsule Network[会议论文],2021 Global Reliability and Prognostics and Health Management, PHM-Nanjing 2021,2021-01-01
  • 38. DOI 郭旭东,王芃鑫,王华庆,肖江涛,宋浏阳
    Remaining Useful Life Prediction of Mechanical Equipment Based on Temporal Convolutional Network and Asymmetric Loss Function[会议论文],2021 Global Reliability and Prognostics and Health Management, PHM-Nanjing 2021,2021-01-01
  • 39. DOI Han, Changkun,卢威,王芃鑫,宋浏阳,王华庆
    A Novel Method for Enhancing Bearing Fault Feature Based on Sparse Group Lasso[会议论文],Proceedings of 2021 IEEE International Conference on Sensing, Diagnostics, Prognostics, and Control, SDPC 2021,2021-01-01
  • 40. DOI 林天骄,王华庆,宋浏阳,马波,Dong, Zuoyi
    Multi-task Learning Based Classified-assisted Prediction Network for Remaining Useful Life Prediction[会议论文],ICSMD 2021 - 2nd International Conference on Sensing, Measurement and Data Analytics in the Era of Artificial Intelligence,2021-01-01
  • 41. DOI 林天骄,宋浏阳,李石,王华庆,徐福建
    基于空洞卷积神经网络的旋转机械故障诊断方法[期刊论文],测控技术,2020-12-18
  • 42. DOI 王陶冶,马骏,王华庆
    后疫情时代下高校研究生党建工作的再思考[期刊论文],北京教育(高教),2020-12-10
  • 43. DOI 卢威,宋浏阳,Cui, Lingli,王华庆
    A Novel Weak Fault Diagnosis Method Based on Sparse Representation and Empirical Wavelet Transform for Rolling Bearing[会议论文],International Conference on Sensing, Measurement and Data Analytics in the Era of Artificial Intelligence, ICSMD 2020 - Proceedings,2020-10-15
  • 44. DOI 宋浏阳,王华庆,Chen Peng
    Automatic Patrol and Inspection Method for Machinery Diagnosis Robot-Sound Signal-Based Fuzzy Search Approach[期刊论文],IEEE Sensors Journal,2020-08-01
  • 45. DOI Cui, Lingli,Wang, Xin,王华庆,Ma, Jianfeng
    Research on Remaining Useful Life Prediction of Rolling Element Bearings Based on Time-Varying Kalman Filter[期刊论文],IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT,2020-06-01
  • 46. DOI Li, Guozheng,唐刚,王华庆,Wang, Yanan
    Blind source separation of composite bearing vibration signals with low-rank and sparse decomposition[期刊论文],MEASUREMENT,2019-10-01
  • 47. DOI 宋浏阳,李石,王芃鑫,王华庆
    基于动态统计滤波与深度学习的智能故障诊断方法[期刊论文],仪器仪表学报,2019-07-15
  • 48. DOI 宋浏阳,王华庆,Chen, Peng
    Intelligent diagnosis method for machinery by sequential auto-reorganization of histogram[期刊论文],ISA TRANSACTIONS,2019-04-01
  • 49. DOI Li, Guozheng,唐刚,Luo, Ganggang,王华庆
    Underdetermined blind separation of bearing faults in hyperplane space with variational mode decomposition[期刊论文],MECHANICAL SYSTEMS AND SIGNAL PROCESSING,2019-04-01
  • 50. DOI Hao, Yansong,宋浏阳,Cui, Lingli,王华庆
    A three-dimensional geometric features-based SCA algorithm for compound faults diagnosis[期刊论文],MEASUREMENT,2019-02-01
  • 51. DOI Song, Liuyang,Chen, Peng,王华庆,Kato, Miki
    Intelligent Condition Diagnosis Method for Rotating Machinery Based on Probability Density and Discriminant Analyses[期刊论文],IEEE SIGNAL PROCESSING LETTERS,2016-08-01
  • 52. DOI Cui, Lingli,Wu, Na,Ma, Chunqing,王华庆
    Quantitative fault analysis of roller bearings based on a novel matching pursuit method with a new step-impulse dictionary[期刊论文],MECHANICAL SYSTEMS AND SIGNAL PROCESSING,2016-02-01
[+][-]2021年
  • 1. DOI Han, Changkun,Lu, Wei,王华庆,宋浏阳,Cui, Lingli
    Multistate fault diagnosis strategy for bearings based on an improved convolutional sparse coding with priori periodic filter group[期刊论文],MECHANICAL SYSTEMS AND SIGNAL PROCESSING,2023-04-01
  • 2. DOI 王华庆,林天骄,Cui, Lingli,马波,Dong, Zuoyi,宋浏阳
    Multitask Learning-Based Self-Attention Encoding Atrous Convolutional Neural Network for Remaining Useful Life Prediction[期刊论文],IEEE Transactions on Instrumentation and Measurement,2022-01-01
  • 3. DOI Cui, Lingli,Li, Wenjie,Wang, Xin,Zhao, Dezun,王华庆
    Comprehensive Remaining Useful Life Prediction for Rolling Element Bearings Based on Time-Varying Particle Filtering[期刊论文],IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT,2022-01-01
  • 4. DOI 王芃鑫,宋浏阳,郭旭东,王华庆,Cui, Lingli
    A High-Stability Diagnosis Model Based on a Multiscale Feature Fusion Convolutional Neural Network[期刊论文],IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT,2021-01-01
  • 5. DOI 王华庆,Li, Shi,宋浏阳,Cui, Lingli,Wang, Pengxin
    An Enhanced Intelligent Diagnosis Method Based on Multi-Sensor Image Fusion via Improved Deep Learning Network[期刊论文],IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT,2020-06-01
  • 6. DOI 王华庆,Ren, Bangyue,宋浏阳,Cui, Lingli
    A Novel Weighted Sparse Representation Classification Strategy Based on Dictionary Learning for Rotating Machinery[期刊论文],IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT,2020-03-01
  • 7. DOI 王华庆,任帮月,宋浏阳,董方,王梦阳
    基于终止准则改进K-SVD字典学习的稀疏表示特征增强方法[期刊论文],机械工程学报,2019-01-25
  • 8. DOI 王华庆,Li, Shi,宋浏阳,Cui, Lingli
    A novel convolutional neural network based fault recognition method via image fusion of multi-vibration-signals[期刊论文],COMPUTERS IN INDUSTRY,2019-02-01
  • 9. DOI Hao, Yansong,宋浏阳,Ren, Bangyue,王华庆,Cui, Lingli
    Step-by-Step Compound Faults Diagnosis Method for Equipment Based on Majorization-Minimization and Constraint SCA[期刊论文],IEEE-ASME TRANSACTIONS ON MECHATRONICS,2019-12-01
  • 10. DOI 宋浏阳,王华庆,Chen, Peng
    Vibration-Based Intelligent Fault Diagnosis for Roller Bearings in Low-Speed Rotating Machinery[期刊论文],IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT,2018-03-20
  • 11. DOI 宋浏阳,王华庆,Chen, Peng
    Step-by-Step Fuzzy Diagnosis Method for Equipment Based on Symptom Extraction and Trivalent Logic Fuzzy Diagnosis Theory[期刊论文],IEEE TRANSACTIONS ON FUZZY SYSTEMS,2018-12-01
  • 12. DOI 林天骄,王华庆,郭旭东,王芃鑫,宋浏阳
    A novel prediction network for remaining useful life of rotating machinery[期刊论文],INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY,2023-02-01
  • 13. DOI Cui, Lingli,Yang, Mei,Liu, Dongdong,王华庆
    The diagnosis of gear and bearing compound faults via adapted dictionary-free orthogonal matching pursuit and spectral negentropy[期刊论文],MEASUREMENT,2023-01-01
  • 14. DOI 王华庆,佟兴伟,王芃鑫,徐智涛,宋浏阳
    Few-shot transfer learning method based on meta-learning and graph convolution network for machinery fault diagnosis[期刊论文],Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science,2023-01-01
  • 15. DOI 王华庆,张玺森,郭旭东,林天骄,宋浏阳
    Remaining useful life prediction of bearings based on multiple-feature fusion health indicator and weighted temporal convolution network[期刊论文],Measurement Science and Technology,2022-10-01
  • 16. DOI Wang, Xin,Cui, Lingli,王华庆
    Remaining Useful Life Prediction of Rolling Element Bearings Based on Hybrid Drive of Data and Model[期刊论文],IEEE SENSORS JOURNAL,2022-09-01
  • 17. DOI Han, Changkun,Lu, Wei,王芃鑫,宋浏阳,王华庆
    A time-frequency sparse strategy based on optimal flux atom and scale lp approximation operator[期刊论文],Measurement Science and Technology,2022-07-01
  • 18. DOI 王芃鑫,宋浏阳,王华庆,Han, Changkun,郭旭东,Cui, Lingli
    Grouping sparse filtering: a novel down-sampling approach toward rotating machine intelligent diagnosis in 1D-convolutional neural networks[期刊论文],MEASUREMENT SCIENCE AND TECHNOLOGY,2022-06-01
  • 19. DOI 付饶,李天庆,段军,陈学斌,王华庆,王峰
    An Air Filtration Technology Based on High Gravity Rotating Bed[会议论文],2021 International Workshop on Pharmaceutical and Clinical Research(WPCR2021),28September 2021,Virtualevent,2022-05-03
  • 20. DOI Xue, Hongtao,Ding, Dianyong,Zhang, Ziming,Wu, Meng,王华庆
    A fuzzy system of operation safety assessment using multi-model linkage and multi-stage collaboration for in-wheel motor[期刊论文],IEEE Transactions on Fuzzy Systems,2022-04-09
  • 21. DOI Han, Changkun,Lu, Wei,王芃鑫,宋浏阳,王华庆
    A recursive sparse representation strategy for bearing fault diagnosis[期刊论文],Measurement: Journal of the International Measurement Confederation,2022-01-01
  • 22. DOI 郭青,肖宇峰,王华庆,Yu, Ming-An,Wei, Ying,Zhao, Zhenlong
    A Benchmark and Transformer-based Approach for Automated Hyperparathyroidism Detection[会议论文],Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics,2022-01-01
  • 23. DOI Zhang, Wenbo,林天骄,王华庆,宋浏阳
    ConvNeXt-CNN Based Intelligent Fault Diagnosis Method for Rotating Equipment[会议论文],2022 International Conference on Sensing, Measurement and Data Analytics in the Era of Artificial Intelligence, ICSMD 2022 - Proceedings,2022-01-01
  • 24. DOI 徐智涛,佟兴伟,宋浏阳,王华庆
    An open set compound fault diagnosis method for gearboxes based on weighted domain adaptation[会议论文],2022 International Conference on Sensing, Measurement and Data Analytics in the Era of Artificial Intelligence, ICSMD 2022 - Proceedings,2022-01-01
  • 25. DOI Zhang, Hongjie,Han, Changkun,宋浏阳,王华庆
    Fault diagnosis method of rolling bearing based on Group-Sparsity Learning[会议论文],2022 International Conference on Sensing, Measurement and Data Analytics in the Era of Artificial Intelligence, ICSMD 2022 - Proceedings,2022-01-01
  • 26. DOI Jin, Ye,林天骄,张玺森,王华庆,宋浏阳,Bin, Guangfu
    Reaming Useful Life Prediction of Bearings Based on CNN and Encoder Layers[会议论文],2022 International Conference on Sensing, Measurement and Data Analytics in the Era of Artificial Intelligence, ICSMD 2022 - Proceedings,2022-01-01
  • 27. DOI 王华庆,刘泽源,卢威,宋浏阳,韩长坤
    频域组稀疏滚动轴承特征提取方法[期刊论文],振动工程学报,2021-10-28
  • 28. DOI 夏信强,王华庆,宋浏阳
    改进的MVMD结合LNMF的复合故障轴承信号分离研究[会议论文],第十四届全国振动理论及应用学术会议(NVTA2021)摘要集,2021-10-23
  • 29. DOI 徐智涛,宋浏阳,王峰,王华庆
    域适应神经网络滚动轴承跨工况迁移诊断方法[会议论文],第十四届全国振动理论及应用学术会议(NVTA2021)摘要集,2021-10-23
  • 30. DOI 张玺森,宋浏阳,郭旭东,王华庆
    基于域融合健康指标和时间卷积神经网络的轴承退化趋势预测方法[会议论文],第十四届全国振动理论及应用学术会议(NVTA2021)摘要集,2021-10-23
  • 31. DOI 佟兴伟,宋浏阳,王华庆
    机理仿真与数据驱动融合的GAN样本生成方法研究[会议论文],第十四届全国振动理论及应用学术会议(NVTA2021)摘要集,2021-10-23
  • 32. DOI 郭青,蒋梓珣,王华庆,于明安,赵朕龙
    Automatic Segmentation of Dynamic Thyroid Ultrasound Images Based on An Improved DRLSE Model [会议论文],IEEE Xplore,2021-10-22
  • 33. DOI 王芃鑫,宋浏阳,郝彦嵩,王华庆,Li, Shi,Cui, Lingli
    A light intelligent diagnosis model based on improved Online Dictionary Learning sample-making and simplified convolutional neural network[期刊论文],MEASUREMENT,2021-10-01
  • 34. DOI 林天骄,王华庆,宋浏阳,Cui, Lingli
    A Novel Feature-Transferred Prediction Network for Remaining Useful Life of Rotating Machinery[会议论文],ResearchSquare,2021-10-01
  • 35. DOI 李俊林,王华庆,宋浏阳
    A novel sparse feature extraction method based on sparse signal via dual-channel self-adaptive TQWT[期刊论文],CHINESE JOURNAL OF AERONAUTICS,2021-07-01
  • 36. DOI Cui, Lingli,Sun, Yin,Wang, Xin,王华庆
    Spectrum-Based, Full-Band Preprocessing, and Two-Dimensional Separation of Bearing and Gear Compound Faults Diagnosis[期刊论文],IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT,2021-01-01
  • 37. DOI 肖江涛,宋浏阳,郭旭东,刘锦涛,王华庆,Xu, Fujian
    A Novel Model of Bearing Fault Diagnosis Based on Convolutional Auto-encoder and Capsule Network[会议论文],2021 Global Reliability and Prognostics and Health Management, PHM-Nanjing 2021,2021-01-01
  • 38. DOI 郭旭东,王芃鑫,王华庆,肖江涛,宋浏阳
    Remaining Useful Life Prediction of Mechanical Equipment Based on Temporal Convolutional Network and Asymmetric Loss Function[会议论文],2021 Global Reliability and Prognostics and Health Management, PHM-Nanjing 2021,2021-01-01
  • 39. DOI Han, Changkun,卢威,王芃鑫,宋浏阳,王华庆
    A Novel Method for Enhancing Bearing Fault Feature Based on Sparse Group Lasso[会议论文],Proceedings of 2021 IEEE International Conference on Sensing, Diagnostics, Prognostics, and Control, SDPC 2021,2021-01-01
  • 40. DOI 林天骄,王华庆,宋浏阳,马波,Dong, Zuoyi
    Multi-task Learning Based Classified-assisted Prediction Network for Remaining Useful Life Prediction[会议论文],ICSMD 2021 - 2nd International Conference on Sensing, Measurement and Data Analytics in the Era of Artificial Intelligence,2021-01-01
  • 41. DOI 林天骄,宋浏阳,李石,王华庆,徐福建
    基于空洞卷积神经网络的旋转机械故障诊断方法[期刊论文],测控技术,2020-12-18
  • 42. DOI 王陶冶,马骏,王华庆
    后疫情时代下高校研究生党建工作的再思考[期刊论文],北京教育(高教),2020-12-10
  • 43. DOI 卢威,宋浏阳,Cui, Lingli,王华庆
    A Novel Weak Fault Diagnosis Method Based on Sparse Representation and Empirical Wavelet Transform for Rolling Bearing[会议论文],International Conference on Sensing, Measurement and Data Analytics in the Era of Artificial Intelligence, ICSMD 2020 - Proceedings,2020-10-15
  • 44. DOI 宋浏阳,王华庆,Chen Peng
    Automatic Patrol and Inspection Method for Machinery Diagnosis Robot-Sound Signal-Based Fuzzy Search Approach[期刊论文],IEEE Sensors Journal,2020-08-01
  • 45. DOI Cui, Lingli,Wang, Xin,王华庆,Ma, Jianfeng
    Research on Remaining Useful Life Prediction of Rolling Element Bearings Based on Time-Varying Kalman Filter[期刊论文],IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT,2020-06-01
  • 46. DOI Li, Guozheng,唐刚,王华庆,Wang, Yanan
    Blind source separation of composite bearing vibration signals with low-rank and sparse decomposition[期刊论文],MEASUREMENT,2019-10-01
  • 47. DOI 宋浏阳,李石,王芃鑫,王华庆
    基于动态统计滤波与深度学习的智能故障诊断方法[期刊论文],仪器仪表学报,2019-07-15
  • 48. DOI 宋浏阳,王华庆,Chen, Peng
    Intelligent diagnosis method for machinery by sequential auto-reorganization of histogram[期刊论文],ISA TRANSACTIONS,2019-04-01
  • 49. DOI Li, Guozheng,唐刚,Luo, Ganggang,王华庆
    Underdetermined blind separation of bearing faults in hyperplane space with variational mode decomposition[期刊论文],MECHANICAL SYSTEMS AND SIGNAL PROCESSING,2019-04-01
  • 50. DOI Hao, Yansong,宋浏阳,Cui, Lingli,王华庆
    A three-dimensional geometric features-based SCA algorithm for compound faults diagnosis[期刊论文],MEASUREMENT,2019-02-01
  • 51. DOI Song, Liuyang,Chen, Peng,王华庆,Kato, Miki
    Intelligent Condition Diagnosis Method for Rotating Machinery Based on Probability Density and Discriminant Analyses[期刊论文],IEEE SIGNAL PROCESSING LETTERS,2016-08-01
  • 52. DOI Cui, Lingli,Wu, Na,Ma, Chunqing,王华庆
    Quantitative fault analysis of roller bearings based on a novel matching pursuit method with a new step-impulse dictionary[期刊论文],MECHANICAL SYSTEMS AND SIGNAL PROCESSING,2016-02-01
[+][-]2020年
  • 1. DOI Han, Changkun,Lu, Wei,王华庆,宋浏阳,Cui, Lingli
    Multistate fault diagnosis strategy for bearings based on an improved convolutional sparse coding with priori periodic filter group[期刊论文],MECHANICAL SYSTEMS AND SIGNAL PROCESSING,2023-04-01
  • 2. DOI 王华庆,林天骄,Cui, Lingli,马波,Dong, Zuoyi,宋浏阳
    Multitask Learning-Based Self-Attention Encoding Atrous Convolutional Neural Network for Remaining Useful Life Prediction[期刊论文],IEEE Transactions on Instrumentation and Measurement,2022-01-01
  • 3. DOI Cui, Lingli,Li, Wenjie,Wang, Xin,Zhao, Dezun,王华庆
    Comprehensive Remaining Useful Life Prediction for Rolling Element Bearings Based on Time-Varying Particle Filtering[期刊论文],IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT,2022-01-01
  • 4. DOI 王芃鑫,宋浏阳,郭旭东,王华庆,Cui, Lingli
    A High-Stability Diagnosis Model Based on a Multiscale Feature Fusion Convolutional Neural Network[期刊论文],IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT,2021-01-01
  • 5. DOI 王华庆,Li, Shi,宋浏阳,Cui, Lingli,Wang, Pengxin
    An Enhanced Intelligent Diagnosis Method Based on Multi-Sensor Image Fusion via Improved Deep Learning Network[期刊论文],IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT,2020-06-01
  • 6. DOI 王华庆,Ren, Bangyue,宋浏阳,Cui, Lingli
    A Novel Weighted Sparse Representation Classification Strategy Based on Dictionary Learning for Rotating Machinery[期刊论文],IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT,2020-03-01
  • 7. DOI 王华庆,任帮月,宋浏阳,董方,王梦阳
    基于终止准则改进K-SVD字典学习的稀疏表示特征增强方法[期刊论文],机械工程学报,2019-01-25
  • 8. DOI 王华庆,Li, Shi,宋浏阳,Cui, Lingli
    A novel convolutional neural network based fault recognition method via image fusion of multi-vibration-signals[期刊论文],COMPUTERS IN INDUSTRY,2019-02-01
  • 9. DOI Hao, Yansong,宋浏阳,Ren, Bangyue,王华庆,Cui, Lingli
    Step-by-Step Compound Faults Diagnosis Method for Equipment Based on Majorization-Minimization and Constraint SCA[期刊论文],IEEE-ASME TRANSACTIONS ON MECHATRONICS,2019-12-01
  • 10. DOI 宋浏阳,王华庆,Chen, Peng
    Vibration-Based Intelligent Fault Diagnosis for Roller Bearings in Low-Speed Rotating Machinery[期刊论文],IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT,2018-03-20
  • 11. DOI 宋浏阳,王华庆,Chen, Peng
    Step-by-Step Fuzzy Diagnosis Method for Equipment Based on Symptom Extraction and Trivalent Logic Fuzzy Diagnosis Theory[期刊论文],IEEE TRANSACTIONS ON FUZZY SYSTEMS,2018-12-01
  • 12. DOI 林天骄,王华庆,郭旭东,王芃鑫,宋浏阳
    A novel prediction network for remaining useful life of rotating machinery[期刊论文],INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY,2023-02-01
  • 13. DOI Cui, Lingli,Yang, Mei,Liu, Dongdong,王华庆
    The diagnosis of gear and bearing compound faults via adapted dictionary-free orthogonal matching pursuit and spectral negentropy[期刊论文],MEASUREMENT,2023-01-01
  • 14. DOI 王华庆,佟兴伟,王芃鑫,徐智涛,宋浏阳
    Few-shot transfer learning method based on meta-learning and graph convolution network for machinery fault diagnosis[期刊论文],Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science,2023-01-01
  • 15. DOI 王华庆,张玺森,郭旭东,林天骄,宋浏阳
    Remaining useful life prediction of bearings based on multiple-feature fusion health indicator and weighted temporal convolution network[期刊论文],Measurement Science and Technology,2022-10-01
  • 16. DOI Wang, Xin,Cui, Lingli,王华庆
    Remaining Useful Life Prediction of Rolling Element Bearings Based on Hybrid Drive of Data and Model[期刊论文],IEEE SENSORS JOURNAL,2022-09-01
  • 17. DOI Han, Changkun,Lu, Wei,王芃鑫,宋浏阳,王华庆
    A time-frequency sparse strategy based on optimal flux atom and scale lp approximation operator[期刊论文],Measurement Science and Technology,2022-07-01
  • 18. DOI 王芃鑫,宋浏阳,王华庆,Han, Changkun,郭旭东,Cui, Lingli
    Grouping sparse filtering: a novel down-sampling approach toward rotating machine intelligent diagnosis in 1D-convolutional neural networks[期刊论文],MEASUREMENT SCIENCE AND TECHNOLOGY,2022-06-01
  • 19. DOI 付饶,李天庆,段军,陈学斌,王华庆,王峰
    An Air Filtration Technology Based on High Gravity Rotating Bed[会议论文],2021 International Workshop on Pharmaceutical and Clinical Research(WPCR2021),28September 2021,Virtualevent,2022-05-03
  • 20. DOI Xue, Hongtao,Ding, Dianyong,Zhang, Ziming,Wu, Meng,王华庆
    A fuzzy system of operation safety assessment using multi-model linkage and multi-stage collaboration for in-wheel motor[期刊论文],IEEE Transactions on Fuzzy Systems,2022-04-09
  • 21. DOI Han, Changkun,Lu, Wei,王芃鑫,宋浏阳,王华庆
    A recursive sparse representation strategy for bearing fault diagnosis[期刊论文],Measurement: Journal of the International Measurement Confederation,2022-01-01
  • 22. DOI 郭青,肖宇峰,王华庆,Yu, Ming-An,Wei, Ying,Zhao, Zhenlong
    A Benchmark and Transformer-based Approach for Automated Hyperparathyroidism Detection[会议论文],Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics,2022-01-01
  • 23. DOI Zhang, Wenbo,林天骄,王华庆,宋浏阳
    ConvNeXt-CNN Based Intelligent Fault Diagnosis Method for Rotating Equipment[会议论文],2022 International Conference on Sensing, Measurement and Data Analytics in the Era of Artificial Intelligence, ICSMD 2022 - Proceedings,2022-01-01
  • 24. DOI 徐智涛,佟兴伟,宋浏阳,王华庆
    An open set compound fault diagnosis method for gearboxes based on weighted domain adaptation[会议论文],2022 International Conference on Sensing, Measurement and Data Analytics in the Era of Artificial Intelligence, ICSMD 2022 - Proceedings,2022-01-01
  • 25. DOI Zhang, Hongjie,Han, Changkun,宋浏阳,王华庆
    Fault diagnosis method of rolling bearing based on Group-Sparsity Learning[会议论文],2022 International Conference on Sensing, Measurement and Data Analytics in the Era of Artificial Intelligence, ICSMD 2022 - Proceedings,2022-01-01
  • 26. DOI Jin, Ye,林天骄,张玺森,王华庆,宋浏阳,Bin, Guangfu
    Reaming Useful Life Prediction of Bearings Based on CNN and Encoder Layers[会议论文],2022 International Conference on Sensing, Measurement and Data Analytics in the Era of Artificial Intelligence, ICSMD 2022 - Proceedings,2022-01-01
  • 27. DOI 王华庆,刘泽源,卢威,宋浏阳,韩长坤
    频域组稀疏滚动轴承特征提取方法[期刊论文],振动工程学报,2021-10-28
  • 28. DOI 夏信强,王华庆,宋浏阳
    改进的MVMD结合LNMF的复合故障轴承信号分离研究[会议论文],第十四届全国振动理论及应用学术会议(NVTA2021)摘要集,2021-10-23
  • 29. DOI 徐智涛,宋浏阳,王峰,王华庆
    域适应神经网络滚动轴承跨工况迁移诊断方法[会议论文],第十四届全国振动理论及应用学术会议(NVTA2021)摘要集,2021-10-23
  • 30. DOI 张玺森,宋浏阳,郭旭东,王华庆
    基于域融合健康指标和时间卷积神经网络的轴承退化趋势预测方法[会议论文],第十四届全国振动理论及应用学术会议(NVTA2021)摘要集,2021-10-23
  • 31. DOI 佟兴伟,宋浏阳,王华庆
    机理仿真与数据驱动融合的GAN样本生成方法研究[会议论文],第十四届全国振动理论及应用学术会议(NVTA2021)摘要集,2021-10-23
  • 32. DOI 郭青,蒋梓珣,王华庆,于明安,赵朕龙
    Automatic Segmentation of Dynamic Thyroid Ultrasound Images Based on An Improved DRLSE Model [会议论文],IEEE Xplore,2021-10-22
  • 33. DOI 王芃鑫,宋浏阳,郝彦嵩,王华庆,Li, Shi,Cui, Lingli
    A light intelligent diagnosis model based on improved Online Dictionary Learning sample-making and simplified convolutional neural network[期刊论文],MEASUREMENT,2021-10-01
  • 34. DOI 林天骄,王华庆,宋浏阳,Cui, Lingli
    A Novel Feature-Transferred Prediction Network for Remaining Useful Life of Rotating Machinery[会议论文],ResearchSquare,2021-10-01
  • 35. DOI 李俊林,王华庆,宋浏阳
    A novel sparse feature extraction method based on sparse signal via dual-channel self-adaptive TQWT[期刊论文],CHINESE JOURNAL OF AERONAUTICS,2021-07-01
  • 36. DOI Cui, Lingli,Sun, Yin,Wang, Xin,王华庆
    Spectrum-Based, Full-Band Preprocessing, and Two-Dimensional Separation of Bearing and Gear Compound Faults Diagnosis[期刊论文],IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT,2021-01-01
  • 37. DOI 肖江涛,宋浏阳,郭旭东,刘锦涛,王华庆,Xu, Fujian
    A Novel Model of Bearing Fault Diagnosis Based on Convolutional Auto-encoder and Capsule Network[会议论文],2021 Global Reliability and Prognostics and Health Management, PHM-Nanjing 2021,2021-01-01
  • 38. DOI 郭旭东,王芃鑫,王华庆,肖江涛,宋浏阳
    Remaining Useful Life Prediction of Mechanical Equipment Based on Temporal Convolutional Network and Asymmetric Loss Function[会议论文],2021 Global Reliability and Prognostics and Health Management, PHM-Nanjing 2021,2021-01-01
  • 39. DOI Han, Changkun,卢威,王芃鑫,宋浏阳,王华庆
    A Novel Method for Enhancing Bearing Fault Feature Based on Sparse Group Lasso[会议论文],Proceedings of 2021 IEEE International Conference on Sensing, Diagnostics, Prognostics, and Control, SDPC 2021,2021-01-01
  • 40. DOI 林天骄,王华庆,宋浏阳,马波,Dong, Zuoyi
    Multi-task Learning Based Classified-assisted Prediction Network for Remaining Useful Life Prediction[会议论文],ICSMD 2021 - 2nd International Conference on Sensing, Measurement and Data Analytics in the Era of Artificial Intelligence,2021-01-01
  • 41. DOI 林天骄,宋浏阳,李石,王华庆,徐福建
    基于空洞卷积神经网络的旋转机械故障诊断方法[期刊论文],测控技术,2020-12-18
  • 42. DOI 王陶冶,马骏,王华庆
    后疫情时代下高校研究生党建工作的再思考[期刊论文],北京教育(高教),2020-12-10
  • 43. DOI 卢威,宋浏阳,Cui, Lingli,王华庆
    A Novel Weak Fault Diagnosis Method Based on Sparse Representation and Empirical Wavelet Transform for Rolling Bearing[会议论文],International Conference on Sensing, Measurement and Data Analytics in the Era of Artificial Intelligence, ICSMD 2020 - Proceedings,2020-10-15
  • 44. DOI 宋浏阳,王华庆,Chen Peng
    Automatic Patrol and Inspection Method for Machinery Diagnosis Robot-Sound Signal-Based Fuzzy Search Approach[期刊论文],IEEE Sensors Journal,2020-08-01
  • 45. DOI Cui, Lingli,Wang, Xin,王华庆,Ma, Jianfeng
    Research on Remaining Useful Life Prediction of Rolling Element Bearings Based on Time-Varying Kalman Filter[期刊论文],IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT,2020-06-01
  • 46. DOI Li, Guozheng,唐刚,王华庆,Wang, Yanan
    Blind source separation of composite bearing vibration signals with low-rank and sparse decomposition[期刊论文],MEASUREMENT,2019-10-01
  • 47. DOI 宋浏阳,李石,王芃鑫,王华庆
    基于动态统计滤波与深度学习的智能故障诊断方法[期刊论文],仪器仪表学报,2019-07-15
  • 48. DOI 宋浏阳,王华庆,Chen, Peng
    Intelligent diagnosis method for machinery by sequential auto-reorganization of histogram[期刊论文],ISA TRANSACTIONS,2019-04-01
  • 49. DOI Li, Guozheng,唐刚,Luo, Ganggang,王华庆
    Underdetermined blind separation of bearing faults in hyperplane space with variational mode decomposition[期刊论文],MECHANICAL SYSTEMS AND SIGNAL PROCESSING,2019-04-01
  • 50. DOI Hao, Yansong,宋浏阳,Cui, Lingli,王华庆
    A three-dimensional geometric features-based SCA algorithm for compound faults diagnosis[期刊论文],MEASUREMENT,2019-02-01
  • 51. DOI Song, Liuyang,Chen, Peng,王华庆,Kato, Miki
    Intelligent Condition Diagnosis Method for Rotating Machinery Based on Probability Density and Discriminant Analyses[期刊论文],IEEE SIGNAL PROCESSING LETTERS,2016-08-01
  • 52. DOI Cui, Lingli,Wu, Na,Ma, Chunqing,王华庆
    Quantitative fault analysis of roller bearings based on a novel matching pursuit method with a new step-impulse dictionary[期刊论文],MECHANICAL SYSTEMS AND SIGNAL PROCESSING,2016-02-01
[+][-]2020年之前
  • 1. DOI Han, Changkun,Lu, Wei,王华庆,宋浏阳,Cui, Lingli
    Multistate fault diagnosis strategy for bearings based on an improved convolutional sparse coding with priori periodic filter group[期刊论文],MECHANICAL SYSTEMS AND SIGNAL PROCESSING,2023-04-01
  • 2. DOI 王华庆,林天骄,Cui, Lingli,马波,Dong, Zuoyi,宋浏阳
    Multitask Learning-Based Self-Attention Encoding Atrous Convolutional Neural Network for Remaining Useful Life Prediction[期刊论文],IEEE Transactions on Instrumentation and Measurement,2022-01-01
  • 3. DOI Cui, Lingli,Li, Wenjie,Wang, Xin,Zhao, Dezun,王华庆
    Comprehensive Remaining Useful Life Prediction for Rolling Element Bearings Based on Time-Varying Particle Filtering[期刊论文],IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT,2022-01-01
  • 4. DOI 王芃鑫,宋浏阳,郭旭东,王华庆,Cui, Lingli
    A High-Stability Diagnosis Model Based on a Multiscale Feature Fusion Convolutional Neural Network[期刊论文],IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT,2021-01-01
  • 5. DOI 王华庆,Li, Shi,宋浏阳,Cui, Lingli,Wang, Pengxin
    An Enhanced Intelligent Diagnosis Method Based on Multi-Sensor Image Fusion via Improved Deep Learning Network[期刊论文],IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT,2020-06-01
  • 6. DOI 王华庆,Ren, Bangyue,宋浏阳,Cui, Lingli
    A Novel Weighted Sparse Representation Classification Strategy Based on Dictionary Learning for Rotating Machinery[期刊论文],IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT,2020-03-01
  • 7. DOI 王华庆,任帮月,宋浏阳,董方,王梦阳
    基于终止准则改进K-SVD字典学习的稀疏表示特征增强方法[期刊论文],机械工程学报,2019-01-25
  • 8. DOI 王华庆,Li, Shi,宋浏阳,Cui, Lingli
    A novel convolutional neural network based fault recognition method via image fusion of multi-vibration-signals[期刊论文],COMPUTERS IN INDUSTRY,2019-02-01
  • 9. DOI Hao, Yansong,宋浏阳,Ren, Bangyue,王华庆,Cui, Lingli
    Step-by-Step Compound Faults Diagnosis Method for Equipment Based on Majorization-Minimization and Constraint SCA[期刊论文],IEEE-ASME TRANSACTIONS ON MECHATRONICS,2019-12-01
  • 10. DOI 宋浏阳,王华庆,Chen, Peng
    Vibration-Based Intelligent Fault Diagnosis for Roller Bearings in Low-Speed Rotating Machinery[期刊论文],IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT,2018-03-20
  • 11. DOI 宋浏阳,王华庆,Chen, Peng
    Step-by-Step Fuzzy Diagnosis Method for Equipment Based on Symptom Extraction and Trivalent Logic Fuzzy Diagnosis Theory[期刊论文],IEEE TRANSACTIONS ON FUZZY SYSTEMS,2018-12-01
  • 12. DOI 林天骄,王华庆,郭旭东,王芃鑫,宋浏阳
    A novel prediction network for remaining useful life of rotating machinery[期刊论文],INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY,2023-02-01
  • 13. DOI Cui, Lingli,Yang, Mei,Liu, Dongdong,王华庆
    The diagnosis of gear and bearing compound faults via adapted dictionary-free orthogonal matching pursuit and spectral negentropy[期刊论文],MEASUREMENT,2023-01-01
  • 14. DOI 王华庆,佟兴伟,王芃鑫,徐智涛,宋浏阳
    Few-shot transfer learning method based on meta-learning and graph convolution network for machinery fault diagnosis[期刊论文],Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science,2023-01-01
  • 15. DOI 王华庆,张玺森,郭旭东,林天骄,宋浏阳
    Remaining useful life prediction of bearings based on multiple-feature fusion health indicator and weighted temporal convolution network[期刊论文],Measurement Science and Technology,2022-10-01
  • 16. DOI Wang, Xin,Cui, Lingli,王华庆
    Remaining Useful Life Prediction of Rolling Element Bearings Based on Hybrid Drive of Data and Model[期刊论文],IEEE SENSORS JOURNAL,2022-09-01
  • 17. DOI Han, Changkun,Lu, Wei,王芃鑫,宋浏阳,王华庆
    A time-frequency sparse strategy based on optimal flux atom and scale lp approximation operator[期刊论文],Measurement Science and Technology,2022-07-01
  • 18. DOI 王芃鑫,宋浏阳,王华庆,Han, Changkun,郭旭东,Cui, Lingli
    Grouping sparse filtering: a novel down-sampling approach toward rotating machine intelligent diagnosis in 1D-convolutional neural networks[期刊论文],MEASUREMENT SCIENCE AND TECHNOLOGY,2022-06-01
  • 19. DOI 付饶,李天庆,段军,陈学斌,王华庆,王峰
    An Air Filtration Technology Based on High Gravity Rotating Bed[会议论文],2021 International Workshop on Pharmaceutical and Clinical Research(WPCR2021),28September 2021,Virtualevent,2022-05-03
  • 20. DOI Xue, Hongtao,Ding, Dianyong,Zhang, Ziming,Wu, Meng,王华庆
    A fuzzy system of operation safety assessment using multi-model linkage and multi-stage collaboration for in-wheel motor[期刊论文],IEEE Transactions on Fuzzy Systems,2022-04-09
  • 21. DOI Han, Changkun,Lu, Wei,王芃鑫,宋浏阳,王华庆
    A recursive sparse representation strategy for bearing fault diagnosis[期刊论文],Measurement: Journal of the International Measurement Confederation,2022-01-01
  • 22. DOI 郭青,肖宇峰,王华庆,Yu, Ming-An,Wei, Ying,Zhao, Zhenlong
    A Benchmark and Transformer-based Approach for Automated Hyperparathyroidism Detection[会议论文],Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics,2022-01-01
  • 23. DOI Zhang, Wenbo,林天骄,王华庆,宋浏阳
    ConvNeXt-CNN Based Intelligent Fault Diagnosis Method for Rotating Equipment[会议论文],2022 International Conference on Sensing, Measurement and Data Analytics in the Era of Artificial Intelligence, ICSMD 2022 - Proceedings,2022-01-01
  • 24. DOI 徐智涛,佟兴伟,宋浏阳,王华庆
    An open set compound fault diagnosis method for gearboxes based on weighted domain adaptation[会议论文],2022 International Conference on Sensing, Measurement and Data Analytics in the Era of Artificial Intelligence, ICSMD 2022 - Proceedings,2022-01-01
  • 25. DOI Zhang, Hongjie,Han, Changkun,宋浏阳,王华庆
    Fault diagnosis method of rolling bearing based on Group-Sparsity Learning[会议论文],2022 International Conference on Sensing, Measurement and Data Analytics in the Era of Artificial Intelligence, ICSMD 2022 - Proceedings,2022-01-01
  • 26. DOI Jin, Ye,林天骄,张玺森,王华庆,宋浏阳,Bin, Guangfu
    Reaming Useful Life Prediction of Bearings Based on CNN and Encoder Layers[会议论文],2022 International Conference on Sensing, Measurement and Data Analytics in the Era of Artificial Intelligence, ICSMD 2022 - Proceedings,2022-01-01
  • 27. DOI 王华庆,刘泽源,卢威,宋浏阳,韩长坤
    频域组稀疏滚动轴承特征提取方法[期刊论文],振动工程学报,2021-10-28
  • 28. DOI 夏信强,王华庆,宋浏阳
    改进的MVMD结合LNMF的复合故障轴承信号分离研究[会议论文],第十四届全国振动理论及应用学术会议(NVTA2021)摘要集,2021-10-23
  • 29. DOI 徐智涛,宋浏阳,王峰,王华庆
    域适应神经网络滚动轴承跨工况迁移诊断方法[会议论文],第十四届全国振动理论及应用学术会议(NVTA2021)摘要集,2021-10-23
  • 30. DOI 张玺森,宋浏阳,郭旭东,王华庆
    基于域融合健康指标和时间卷积神经网络的轴承退化趋势预测方法[会议论文],第十四届全国振动理论及应用学术会议(NVTA2021)摘要集,2021-10-23
  • 31. DOI 佟兴伟,宋浏阳,王华庆
    机理仿真与数据驱动融合的GAN样本生成方法研究[会议论文],第十四届全国振动理论及应用学术会议(NVTA2021)摘要集,2021-10-23
  • 32. DOI 郭青,蒋梓珣,王华庆,于明安,赵朕龙
    Automatic Segmentation of Dynamic Thyroid Ultrasound Images Based on An Improved DRLSE Model [会议论文],IEEE Xplore,2021-10-22
  • 33. DOI 王芃鑫,宋浏阳,郝彦嵩,王华庆,Li, Shi,Cui, Lingli
    A light intelligent diagnosis model based on improved Online Dictionary Learning sample-making and simplified convolutional neural network[期刊论文],MEASUREMENT,2021-10-01
  • 34. DOI 林天骄,王华庆,宋浏阳,Cui, Lingli
    A Novel Feature-Transferred Prediction Network for Remaining Useful Life of Rotating Machinery[会议论文],ResearchSquare,2021-10-01
  • 35. DOI 李俊林,王华庆,宋浏阳
    A novel sparse feature extraction method based on sparse signal via dual-channel self-adaptive TQWT[期刊论文],CHINESE JOURNAL OF AERONAUTICS,2021-07-01
  • 36. DOI Cui, Lingli,Sun, Yin,Wang, Xin,王华庆
    Spectrum-Based, Full-Band Preprocessing, and Two-Dimensional Separation of Bearing and Gear Compound Faults Diagnosis[期刊论文],IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT,2021-01-01
  • 37. DOI 肖江涛,宋浏阳,郭旭东,刘锦涛,王华庆,Xu, Fujian
    A Novel Model of Bearing Fault Diagnosis Based on Convolutional Auto-encoder and Capsule Network[会议论文],2021 Global Reliability and Prognostics and Health Management, PHM-Nanjing 2021,2021-01-01
  • 38. DOI 郭旭东,王芃鑫,王华庆,肖江涛,宋浏阳
    Remaining Useful Life Prediction of Mechanical Equipment Based on Temporal Convolutional Network and Asymmetric Loss Function[会议论文],2021 Global Reliability and Prognostics and Health Management, PHM-Nanjing 2021,2021-01-01
  • 39. DOI Han, Changkun,卢威,王芃鑫,宋浏阳,王华庆
    A Novel Method for Enhancing Bearing Fault Feature Based on Sparse Group Lasso[会议论文],Proceedings of 2021 IEEE International Conference on Sensing, Diagnostics, Prognostics, and Control, SDPC 2021,2021-01-01
  • 40. DOI 林天骄,王华庆,宋浏阳,马波,Dong, Zuoyi
    Multi-task Learning Based Classified-assisted Prediction Network for Remaining Useful Life Prediction[会议论文],ICSMD 2021 - 2nd International Conference on Sensing, Measurement and Data Analytics in the Era of Artificial Intelligence,2021-01-01
  • 41. DOI 林天骄,宋浏阳,李石,王华庆,徐福建
    基于空洞卷积神经网络的旋转机械故障诊断方法[期刊论文],测控技术,2020-12-18
  • 42. DOI 王陶冶,马骏,王华庆
    后疫情时代下高校研究生党建工作的再思考[期刊论文],北京教育(高教),2020-12-10
  • 43. DOI 卢威,宋浏阳,Cui, Lingli,王华庆
    A Novel Weak Fault Diagnosis Method Based on Sparse Representation and Empirical Wavelet Transform for Rolling Bearing[会议论文],International Conference on Sensing, Measurement and Data Analytics in the Era of Artificial Intelligence, ICSMD 2020 - Proceedings,2020-10-15
  • 44. DOI 宋浏阳,王华庆,Chen Peng
    Automatic Patrol and Inspection Method for Machinery Diagnosis Robot-Sound Signal-Based Fuzzy Search Approach[期刊论文],IEEE Sensors Journal,2020-08-01
  • 45. DOI Cui, Lingli,Wang, Xin,王华庆,Ma, Jianfeng
    Research on Remaining Useful Life Prediction of Rolling Element Bearings Based on Time-Varying Kalman Filter[期刊论文],IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT,2020-06-01
  • 46. DOI Li, Guozheng,唐刚,王华庆,Wang, Yanan
    Blind source separation of composite bearing vibration signals with low-rank and sparse decomposition[期刊论文],MEASUREMENT,2019-10-01
  • 47. DOI 宋浏阳,李石,王芃鑫,王华庆
    基于动态统计滤波与深度学习的智能故障诊断方法[期刊论文],仪器仪表学报,2019-07-15
  • 48. DOI 宋浏阳,王华庆,Chen, Peng
    Intelligent diagnosis method for machinery by sequential auto-reorganization of histogram[期刊论文],ISA TRANSACTIONS,2019-04-01
  • 49. DOI Li, Guozheng,唐刚,Luo, Ganggang,王华庆
    Underdetermined blind separation of bearing faults in hyperplane space with variational mode decomposition[期刊论文],MECHANICAL SYSTEMS AND SIGNAL PROCESSING,2019-04-01
  • 50. DOI Hao, Yansong,宋浏阳,Cui, Lingli,王华庆
    A three-dimensional geometric features-based SCA algorithm for compound faults diagnosis[期刊论文],MEASUREMENT,2019-02-01
  • 51. DOI Song, Liuyang,Chen, Peng,王华庆,Kato, Miki
    Intelligent Condition Diagnosis Method for Rotating Machinery Based on Probability Density and Discriminant Analyses[期刊论文],IEEE SIGNAL PROCESSING LETTERS,2016-08-01
  • 52. DOI Cui, Lingli,Wu, Na,Ma, Chunqing,王华庆
    Quantitative fault analysis of roller bearings based on a novel matching pursuit method with a new step-impulse dictionary[期刊论文],MECHANICAL SYSTEMS AND SIGNAL PROCESSING,2016-02-01

软件著作

作者类型 作者姓名 著作名称 出版日期 出版社 排名/总人数

专利

  • 1. 一种室内智能灭火消防机器人
  • 2. 用于旋转机械的智能双模振动传感器
  • 3. 一种基于特征增强的轴承故障诊断方法
  • 4. 一种超声图像中甲状旁腺增生的识别方法
  • 5. 一种自适应声信号轴承故障诊断方法
  • 6. 基于多约束非负矩阵分解算法的轴承复合故障诊断方法
  • 7. 一种基于多源数据彩图及卷积神经网络的故障诊断方法
  • 8. 基于CNN彩色特征图的额定运转时轴承故障识别法
  • 9. 一种旋转机械在线自动平衡控制器
  • 10. 基于声发射的滚动轴承单故障辨识方法
  • 11. 一种改进的自适应稀疏采样故障分类方法
  • 12. 一种基于改进K-SVD字典学习和压缩感知的轴承故障诊断方法
  • 13. 基于径向函数表示的CT图像序列肺动脉形态变化检测方法

荣誉及奖励

  • 1. 机械装备故障稀疏诊断和预测理论与方法 ,2020-12-11 00:00:00 ,社会科技奖励 ,二等奖
  • 2. 机械装备损伤性故障定量诊断与智能识别理论与方法 ,2019-12-24 00:00:00 ,省部级科技奖励 ,二等奖
  • 3. 透平机械稳定可靠与增效自主健康关键技术与应用 ,社会科技奖励 ,一等奖
  • 4. 机械装备智能诊断和预测理论与方法 ,2021-09-20 00:00:00 ,省部级科技奖励 ,二等奖

招生信息

招生专业:动力工程及工程热物理、机械工程、安全科学与工程、工程力学

招生对象:博士生、硕士生

招生要求:责任感强、努力进取、有团队协作精神,欢迎有兴趣的同学加入!