Wangqingfeng

[1] Qingfeng Wang, Yunfeng Song, Hua Li, et al.Tribological Behavior Characterization and Fault Detection of Mechanical Seals Based on Face Vibration Acceleration Measurements[J]. Lubricants, 2023, 11(430):1-18.

[2] Chun Lei, Qingfeng Wang, Yang Xiao, et al. Research on an Improved Auxiliary Classifier Wasserstein Generative Adversarial Network with Gradient Penalty Fault Diagnosis Method for Tilting Pad Bearing of Rotating Equipment[J]. Lubricants, 2023, 11(423):1-30.

[3] Tianyu Zhang, Qingfeng Wang, Yue Shu, et al. Remaining Useful Life Prediction for Rolling Bearings with a Novel Entropy-Based Health Indicator and Improved Particle Filter Algorithm[J]. IEEE Access, 2023, 11:3062-3079.

[4] Yang Xiao, Qingfeng Wang, et al. Research on a Multisource Domain Improved fault diagnosis method of the Rotor system[J]. IEEE Access, 2022, 10:85399-85415.

[5] Wang Shuai, Wang Qingfeng, Xiao Yang ,et al. Research on rotor system fault diagnosis method based on vibration signal feature vector transfer learning[J]. Engineering Failure Analysis, 2022.

[6] Wang Qingfeng, Xiao Yang, Wang Shuai, et al. A Method for Constructing Automatic Rolling Bearing Fault Identification Model Based on Refined Composite Multi-Scale Dispersion Entropy[J]. IEEE Access, 2021, (99):1-1.

[7] 宋运锋,王庆锋,李华等.基于端面振动测量的机械密封摩擦学行为试验研究[J/OL].摩擦学学报:1-16[2023-11-04].

Song Yunfeng, Wang Qingfeng, Li Hua, etc. Experimental study on tribological behavior of mechanical seals based on end face vibration measurement [ J / OL ]. Tribological Journal : 1-16 [ 2023-11-04 ].

[8] 肖扬,王庆锋,杨哲等.旋转机械突发不平衡故障早期预警及诊断方法研究[J].机械工程学报,2023,59(11):308-318.

Xiao Yang, Wang Qingfeng, Yang Zhe, etc. Research on early warning and diagnosis method of sudden unbalance fault of rotating machinery [ J ]. Journal of Mechanical Engineering, 2023,59 ( 11 ) : 308-318.

[9] 王庆锋,刘家赫,刘晓金等.数据驱动的旋转设备性能退化趋势预测方法[J].计算机集成制造系统,2022,28(03):724-734.

Wang Qingfeng, Liu Jiahe, Liu Xiaojin, etc. Data-driven performance degradation trend prediction method for rotating equipment [ J ].Computer Integrated Manufacturing System, 2022,28 ( 03 ) : 724-734.

[10] 王庆锋,张程,陈文武等.数据驱动的滚动轴承实时健康状态评估方法[J].计算机集成制造系统,2023,29(07):2211-2223.

Wang Qingfeng, Zhang Cheng, Chen Wenwu, etc. Data-driven real-time health status assessment method for rolling bearings [ J ].Computer integrated manufacturing system, 2023, 29 ( 07 ) : 2211-2223.

[11] 王庆锋,刘家赫,刘晓金等.数据驱动的旋转设备性能退化趋势预测方法[J].计算机集成制造系统,2022,28(03):724-734.

Wang Qingfeng, Liu Jiahe, Liu Xiaojin, etc. Data-driven performance degradation trend prediction method for rotating equipment [ J ].Computer Integrated Manufacturing System, 2022,28 ( 03 ) : 724-734.

[12] 张田雨,王庆锋,舒悦等.基于猎人猎物优化算法改进粒子滤波的滚动轴承剩余使用寿命预测技术[J].北京化工大学学报(自然科学版),2023,50(05):98-108.

Zhang Tianyu, Wang Qingfeng, Shu Yue, etc. Prediction technology of remaining useful life of rolling bearings based on particle filter improved by hunter-prey optimization algorithm [ J ].Journal of Beijing University of Chemical Technology ( Natural Science Edition ), 2023,50 ( 05 ) : 98-108.

[13] 马也,王庆锋,施任杰等.航空发动机气膜浮环密封上浮性能研究[J].润滑与密封,2021,46(01):38-44+50.

Ma Ye, Wang Qingfeng, Shi Renjie, etc. Study on floating performance of aero-engine gas film floating ring seal [ J ].Lubricating and sealing, 2021,46 ( 01 ) : 38-44 + 50.

[14] Wang Qingfeng, Liu Xiaojin, Wei Bingkun, et al. Online incipient fault detection method based on improved l₁ trend filtering and support vector data description [J]. IEEE Access, 2021, 9:30043-30059.

[15] Wang Qingfeng, Wei Bingkun, Liu Jiahe, et al. Data-driven incipient fault prediction for non-stationary and non-linear rotating systems: Methodology, model construction and application [J]. IEEE Access, 2020, 8:197134-197146.

[16] Wang Qingfeng, Liu Jiahe, Wei Bingkun, et al. Investigating the construction, training, and verification methods of k-means clustering fault recognition model for rotating machinery [J]. IEEE Access, 2020, 8:196515-196528.

[17]王庆锋,卫炳坤,刘家赫,马文生,许述剑.一种数据驱动的旋转机械早期故障检测模型构建和应用研究[J].机械工程学报,2020,56(16):22-32.

Wang Qingfeng, Wei Bingkun, Liu Jiahe, Ma Wensheng, Xu Shujian. Construction and application of a data-driven early fault detection model for rotating machinery [ J ].Journal of Mechanical Engineering, 2020,56 ( 16 ) : 22-32.

[18]王庆锋,刘家赫,卫炳坤,张程.数据驱动的聚类分析故障识别方法研究[J].机械工程学报,2020,56(18):7-14.

Wang Qingfeng, Liu Jiahe, Wei Bingkun, Zhang Cheng. Research on data-driven cluster analysis fault identification method [ J ].Journal of Mechanical Engineering, 2020,56 ( 18 ) : 7-14.

[19]王庆锋,李中,许述剑,陈文武.基于故障案例学习的设备健康评价方法研究[J].机械工程学报,2020,56(20):28-37.

Wang Qingfeng, Li Zhong, Xu Shujian, Chen Wenwu. Research on equipment health assessment method based on fault case learning [ J ]. Journal of Mechanical Engineering, 2020,56 ( 20 ) : 28-37.

[20]王庆锋,刘家赫,刘晓金,许述剑.数据驱动的旋转设备性能退化趋势预测方法[J/OL].计算机集成制造系统:1-17[2020-12-12].

Wang Qingfeng, Liu Jiahe, Liu Xiaojin, Xu Shujian. Data-driven performance degradation trend prediction method for rotating equipment [ J / OL ].Computer integrated manufacturing system : 1-17 [ 2020-12-12 ].

[21]王庆锋,刘家赫,柳建军,王学斌,李中.炼化企业设备的本质安全可靠与监管智能化对策研究[J].中国工程科学,2019,21(06):129-136.

Wang Qingfeng, Liu Jiahe, Liu Jianjun, Wang Xuebin, Li Zhong. Research on the essential safety and reliability of equipment in refining and chemical enterprises and the countermeasures of intelligent supervision [ J ]. China Engineering Science, 2019,21 ( 06 ) : 129-136.

[22]雷兴国,王庆锋,李中.基于合作博弈的管道外腐蚀多层次灰色动态评价[J].化工学报,2019,70(06):2386-2396.

[23]王庆锋,高金吉,袁庆斌.过程装备在役再制造工程理论体系[J].计算机集成制造系统,2019,25(10):2446-2455.

Lei Xingguo, Wang Qingfeng, Li Zhong. Multi-level grey dynamic evaluation of pipeline external corrosion based on cooperative game [ J ].Journal of Chemical Industry, 2019,70 ( 06 ) : 2386-2396.

[24]王庆锋,高金吉,李中,雷兴国.机电设备在役再制造工程理论研究及应用[J].机械工程学报,2018,54(22):1-7.

Wang Qingfeng, Gao Jinji, Li Zhong, Lei Xingguo. Theoretical research and application of in-service remanufacturing engineering of electromechanical equipment [ J ].Journal of Mechanical Engineering, 2018,54 ( 22 ) : 1-7.

[25]王庆锋,郝帅,李凯,李中.基于CFD数值模拟的换热器外导流筒优化设计[J].过程工程学报,2017,17(03):461-468.

Wang Qingfeng, Hao Shuai, Li Kai, Li Zhong. Optimization design of outer draft tube of heat exchanger based on CFD numerical simulation [ J ].Journal of Process Engineering, 2017,17 ( 03 ) : 461-468.

[26]王庆锋,李凯,郝帅,李中.MVR系统中管柱式气液旋流分离器性能研究[J].化工进展,2016,35(S2):87-91.

Study on the performance of gas-liquid cyclone separator in MVR system [ J ].Chemical progress, 2016,35 ( S2 ) : 87-91.

[27]王庆锋,高金吉,袁庆斌,江志农.主风机静叶可调执行机构自愈化智能电液控制系统研究与应用[J].机械工程学报,2016,52(20):185-192.

Wang Qingfeng, Gao Jinji, Yuan Qingbin, Jiang Zhinong. Research and application of self-healing intelligent electro-hydraulic control system for main fan stator adjustable actuator [ J ].Journal of Mechanical Engineering, 2016,52 ( 20 ) : 185-192.

[28]王庆锋,高金吉.过程工业动态的以可靠性为中心的维修研究及应用[J].机械工程学报,2012,48(08):135-143.

Wang Qingfeng, Gao Jinji. Reliability Centered Maintenance Research and Application of Process Industry Dynamics [ J ]. Journal of Mechanical Engineering, 2012, 48 ( 08 ) : 135-143.

[29] Wang, Qingfeng, Gao Jinji. Research and application of risk and condition based maintenance task optimization technology in an oil transfer station. Journal of Loss Prevention in the Process Industries, 2012, (6): 1018 ~1027.

[30] Yuan Qingbin, Wang Qingfeng, Gao Jinji. The research of risk and condition-based maintenance decision-making and task optimizing system for rotating equipment in large petrochemical plants. International Journal of Reliability, Quality and Safety Engineering, 2012, 19(4):1-20.

[31] Wang Qingfeng, Liu Wenbin, Zhong Xin, Yang Jianfeng, et al. Development and application of equipment maintenance and safety integrity management system. Journal of Loss Prevention in the Process Industries, 2011, (24):321-332.

[32]王庆锋,杨剑锋,刘文彬,袁庆斌,马宏伟.过程工业设备维修智能决策系统的开发与应用[J].机械工程学报,2010,46(24):168-177.

Wang Qingfeng, Yang Jianfeng, Liu Wenbin, Yuan Qingbin, Ma Hongwei. Development and application of intelligent decision-making system for process industrial equipment maintenance [ J ].Journal of Mechanical Engineering, 2010,46 ( 24 ) : 168-177.