教师个人主页

宋浏阳

发布时间:2025-10-15浏览次数:13

  • 1. DOI Han, Changkun;Lu, Wei;Wang, Huaqing;Song, Liuyang;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 Wang, Huaqing;Xu, Zhitao;Tong, Xingwei;Song, Liuyang
    Cross-Domain Open Set Fault Diagnosis Based on Weighted Domain Adaptation with Double Classifiers[期刊论文],Sensors,2023-02-01
  • 3. DOI Wang, Huaqing;Tong, Xingwei;Wang, Pengxin;Xu, Zhitao;Song, Liuyang
    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
  • 4. DOI Wang, Huaqing;Zhang, Xisen;Guo, Xudong;Lin, Tianjiao;Song, Liuyang
    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
  • 5. DOI Han, Changkun;Lu, Wei;Wang, Pengxin;Song, Liuyang;Wang, Huaqing
    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
  • 6. DOI Wang, Huaqing;Lin, Tianjiao;Cui, Lingli;Ma, Bo;Dong, Zuoyi;Song, Liuyang
    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
  • 7. DOI Xu, Zhitao;Tong, Xingwei;Song, Liuyang;Wang, Huaqing
    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
  • 8. DOI Zhang, Wenbo;Lin, Tianjiao;Wang, Huaqing;Song, Liuyang
    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
  • 9. DOI Jin, Ye;Lin, Tianjiao;Zhang, Xisen;Wang, Huaqing;Song, Liuyang;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
  • 10. DOI Zhang, Hongjie;Han, Changkun;Song, Liuyang;Wang, Huaqing
    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
  • 11. 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
  • 12. 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
  • 13. 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
  • 14. 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
  • 15. 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
  • 16. DOI Wang, Pengxin;Song, Liuyang;Hao, Yansong;Wang, Huaqing;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
  • 17. DOI LI, Junlin;WANG, Huaqing;SONG, Liuyang
    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
  • 18. DOI Wang, Pengxin;Han, Changkun;Song, Liuyang;Wang, Huaqing
    Intelligent Diagnosis of Gearbox Based on Spatial Attention Convolutional Neural Network[会议论文],2021 7th International Conference on Condition Monitoring of Machinery in Non-Stationary Operations, CMMNO 2021,2021-06-11
  • 19. DOI 郭旭东;宋浏阳;王华庆;徐福健;董作一
    基于改进CNN-LSTM的剩余使用寿命预测方法[期刊论文],测控技术,2021-05-18
  • 20. DOI 张方晨;卢威;宋浏阳;王华庆
    基于ADMM的非凸正则化轴承故障诊断方法研究[期刊论文],矿山机械,2021-02-10
  • 21. DOI Wang, Pengxin;Song, Liuyang;Guo, Xudong;Wang, Huaqing;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
  • 22. DOI Han, Changkun;Lu, Wei;Wang, Pengxin;Song, Liuyang;Wang, Huaqing
    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
  • 23. DOI Xiao, Jiangtao;Song, Liuyang;Guo, Xudong;Liu, Jintao;Wang, Huaqing;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
  • 24. DOI Yoshimatsu, Shogo;Song, Liuyang;Zuo, Dunwen;Sheng, Yi;Chen, Peng
    Research on Inspection and Diagnosis Robots for Plant Facilities-Trajectory Tracking Control by Fuzzy Genetic Algorithm and Self-Positioning Correction Method by Deep Learning[会议论文],2021 Global Reliability and Prognostics and Health Management, PHM-Nanjing 2021,2021-01-01
  • 25. DOI Guo, Xudong;Wang, Pengxin;Wang, Huaqing;Xiao, Jiangtao;Liuyang, Song
    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
  • 26. DOI Lin, Tianjiao;Wang, Huaqing;Song, Liuyang;Ma, Bo;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
  • 27. 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
  • 28. DOI Li, Shi;Wang, Huaqing;Song, Liuyang;Wang, Pengxin;Cui, Lingli;Lin, Tianjiao
    An adaptive data fusion strategy for fault diagnosis based on the convolutional neural network[期刊论文],Measurement: Journal of the International Measurement Confederation,2020-12-01
  • 29. DOI Lu, Wei;Song, Liuyang;Cui, Lingli;Wang, Huaqing
    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
  • 30. 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
  • 31. DOI Wang, Hua-Qing;Wang, Meng-Yang;Song, Liu-Yang;Hao, Yan-Song;Ren, Bang-Yue;Dong, Fang
    Method of compound fault signal separation using double constraints non-negative matrix factorization[期刊论文],Zhendong Gongcheng Xuebao/Journal of Vibration Engineering,2020-06-01
  • 32. DOI Wang, Huaqing;Li, Shi;Song, Liuyang;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
  • 33. DOI Wang, Huaqing;Ren, Bangyue;Song, Liuyang;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
  • 34. DOI Hao, Yansong;Wang, Huaqing;Song, Liuyang;Cui, Lingli
    Compound Faults Separation Based on Intrinsic Characteristic-Scale Decomposition and Sparse Component Analysis[会议论文],Smart Innovation, Systems and Technologies,2020-01-01
  • 35. DOI Hao, Yansong;Song, Liuyang;Ren, Bangyue;Wang, Huaqing;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
  • 36. DOI Li, Junlin;Wang, Huaqing;Song, Liuyang;Cui, Lingli
    A novel feature extraction method for roller bearing using sparse decomposition based on self-Adaptive complete dictionary[期刊论文],MEASUREMENT,2019-12-01
  • 37. DOI Xie, Xin;Wang, Huaqing;Song, Liuyang;Li, Jingle;Hao, Yansong
    A vibration data recovery method based on an modified sparsity adaptive algorithm[期刊论文],Zhendong yu Chongji/Journal of Vibration and Shock,2019-08-28
  • 38. DOI Wang, Mengyang;Wang, Huaqing;Dong, Fang;Ren, Bangyue;Song, Liuyang
    A method of compound fault signal separation based on EVMD-LNMF[期刊论文],Zhendong yu Chongji/Journal of Vibration and Shock,2019-08-28
  • 39. DOI Kobayashi, Yusuke;Song, Liuyang;Tomita, Masaru;Chen, Peng
    Automatic Fault Detection and Isolation Method for Roller Bearing Using Hybrid-GA and Sequential Fuzzy Inference (dagger)[期刊论文],SENSORS,2019-08-20
  • 40. DOI Li, Junlin;Song, Liuyang;Cui, Lingli;Wang, Huaqing
    A sparse fault feature extraction method for rotating machinery based on Q factor wavelet multi-resolution decomposition[会议论文],Proceedings - 2019 International Conference on Sensing, Diagnostics, Prognostics, and Control, SDPC 2019,2019-08-01
  • 41. 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
  • 42. DOI Song, Liuyang;Li, Shi;Wang, Pengxin;Wang, Huaqing
    Intelligent fault diagnosis method based on dynamic statistical filtering and deep learning[期刊论文],Yi Qi Yi Biao Xue Bao/Chinese Journal of Scientific Instrument,2019-07-01
  • 43. DOI 申博文;王华庆;唐刚;宋浏阳
    基于MCKD与CEEMDAN的声信号故障特征提取方法-1[期刊论文],复旦学报(自然科学版),2019-06-15
  • 44. DOI Wang, Huaqing;Wang, Mengyang;Li, Junlin;Song, Liuyang;Hao, Yansong
    A Novel Signal Separation Method Based on Improved Sparse Non-Negative Matrix Factorization[期刊论文],ENTROPY,2019-05-01
  • 45. DOI Wang, Huaqing;Ren, Bangyue;Song, Liuyang;Dong, Fang;Wang, Mengyang
    Sparse Representation Method Based on Termination Criteria Improved K-SVD Dictionary Learning for Feature Enhancement[期刊论文],Jixie Gongcheng Xuebao/Journal of Mechanical Engineering,2019-04-05
  • 46. DOI Ma, Jianfeng;Liu, Tongtong;Zha, Chunqing;Song, Liuyang
    Simulation Research on the Time-Varying Meshing Stiffness and Vibration Response of Micro-Cracks in Gears under Variable Tooth Shape Parameters[期刊论文],APPLIED SCIENCES-BASEL,2019-04-01
  • 47. DOI Song, Liuyang;Wang, Huaqing;Chen, Peng
    Intelligent diagnosis method for machinery by sequential auto-reorganization of histogram[期刊论文],ISA TRANSACTIONS,2019-04-01
  • 48. DOI Song, Liuyang;Wang, Huaqing;Chen, Peng
    Automatic signal quality check and equipment condition surveillance based on trivalent logic diagnosis theory[期刊论文],MEASUREMENT,2019-03-01
  • 49. DOI Hao, Yansong;Song, Liuyang;Cui, Lingli;Wang, Huaqing
    A three-dimensional geometric features-based SCA algorithm for compound faults diagnosis[期刊论文],MEASUREMENT,2019-02-01
  • 50. DOI Wang, Huaqing;Li, Shi;Song, Liuyang;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
  • 51. 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
  • 52. DOI Luo, Hongwei;Song, Liuyang;Wang, Mengyang;Wang, Huaqing;Cui, Lingli
    Compound Faults Diagnosis Method Based on Adaptive GST-NMF for Rolling Bearing[会议论文],2019 PROGNOSTICS AND SYSTEM HEALTH MANAGEMENT CONFERENCE (PHM-QINGDAO),2019-01-01
  • 53. DOI Wang, Huaqing;Wang, Pengxin;Song, Liuyang;Ren, Bangyue;Cui, Lingli
    A Novel Feature Enhancement Method Based on Improved Constraint Model of Online Dictionary Learning[期刊论文],IEEE ACCESS,2019-01-01
  • 54. DOI Hao, Yansong;Song, Liuyang;Wang, Mengyang;Cui, Lingli;Wang, Huaqing
    Underdetermined Source Separation of Bearing Faults Based on Optimized Intrinsic Characteristic-Scale Decomposition and Local Non-Negative Matrix Factorization[期刊论文],IEEE ACCESS,2019-01-01
  • 55. DOI Song, Liuyang;Wang, Huaqing;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
  • 56. DOI Kobayashi, Yusuke;Song, Liuyang;Masaru, Tomita;Mizushima, Yuto;Wang, Huaqing;Chen, Peng
    Intelligent diagnosis method for multi-flaws of roller bearing by time-frequency waveform distribution and extreme learning machine[期刊论文],International Journal of COMADEM,2018-10-01
  • 57. DOI Ren, Bangyue;Hao, Yansong;Wang, Huaqing;Song, Liuyang;Tang, Gang;Yuan, Hongfang
    A Sparsity-Promoted Method Based on Majorization-Minimization for Weak Fault Feature Enhancement[期刊论文],SENSORS,2018-04-01
  • 58. DOI Mizushima, Yuto;Song, Liuyang;Ota, Shyohei;Chen, Peng
    Theoretical elucidation of pass frequency for multi-flaws in a roller bearing and precise diagnosis method using decision tree and support vector Machine[期刊论文],International Journal of COMADEM,2018-01-01
  • 59. DOI Takahashi, Takumi;Song, Liuyang;Maki, Ryunosuke;Chen, Peng
    Inspection and Diagnosis Robot for Plant Equipment -Fault Equipment Search Method by Sound and Fuzzy Control-[会议论文],PROCEEDINGS 2018 12TH FRANCE-JAPAN AND 10TH EUROPE-ASIA CONGRESS ON MECHATRONICS,2018-01-01
  • 60. DOI Li, Junlin;Jiang, Jingsheng;Fan, Xiaohong;Wang, Huaqing;Song, Liuyang;Liu, Wenbin;Yang, Jianfeng;Chen, Liangchao
    A New Method for Weak Fault Feature Extraction Based on Improved MED[期刊论文],SHOCK AND VIBRATION,2018-01-01
  • 61. DOI Hao, Yansong;Ke, Yanliang;Tang, Gang;Wang, Huaqing;Song, Liuyang
    A multi-faults separation method based on improved sparse component analysis[会议论文],2017 Prognostics and System Health Management Conference, PHM-Harbin 2017 - Proceedings,2017-10-20
  • 62. DOI Ren, Bangyue;Ke, Yanliang;Tang, Gang;Wang, Huaqing;Song, Liuyang
    Fault feature enhancement for roller bearing using a sparsity-promoted method[会议论文],2017 Prognostics and System Health Management Conference, PHM-Harbin 2017 - Proceedings,2017-10-20
  • 63. DOI Liao, Zhiqiang;Song, Liuyang;Chen, Peng;Zuo, Shilun
    An Automatic Filtering Method Based on an Improved Genetic Algorithm - With Application to Rolling Bearing Fault Signal Extraction[期刊论文],IEEE Sensors Journal,2017-10-01