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Jun Wang (王俊)
Jun Wang (王俊)
Professor, School of Rail Transportation, Soochow University
在 mail.ustc.edu.cn 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
A review of stochastic resonance in rotating machine fault detection
S Lu, Q He, J Wang
Mechanical Systems and Signal Processing 116, 230-260, 2019
3272019
A coarse-to-fine decomposing strategy of VMD for extraction of weak repetitive transients in fault diagnosis of rotating machines
X Jiang, J Wang, J Shi, C Shen, W Huang, Z Zhu
Mechanical Systems and Signal Processing 116, 668-692, 2019
1952019
An automatic and robust features learning method for rotating machinery fault diagnosis based on contractive autoencoder
C Shen, Y Qi, J Wang, G Cai, Z Zhu
Engineering Applications of Artificial Intelligence 76, 170-184, 2018
1672018
Fault diagnosis of rotating machines based on the EMD manifold
J Wang, G Du, Z Zhu, C Shen, Q He
Mechanical Systems and Signal Processing 135, 106443, 2020
1652020
Current-Aided Order Tracking of Vibration Signals for Bearing Fault Diagnosis of Direct-Drive Wind Turbines
J Wang, Y Peng, W Qiao
IEEE Transactions on Industrial Electronics 63 (10), 6336 - 6346, 2016
1532016
Effects of multiscale noise tuning on stochastic resonance for weak signal detection
Q He, J Wang
Digital Signal Processing 22 (4), 614-621, 2012
1492012
Multiscale noise tuning of stochastic resonance for enhanced fault diagnosis in rotating machines
Q He, J Wang, Y Liu, D Dai, F Kong
Mechanical Systems and Signal Processing 28, 443-457, 2012
1452012
Rotor-Current-Based Fault Diagnosis for DFIG Wind Turbine Drivetrain Gearboxes Using Frequency Analysis and a Deep Classifier
F Cheng, J Wang, L Qu, W Qiao
IEEE Transactions on Industry Applications 54 (2), 1062-1071, 2018
1192018
Rotor current-based fault diagnosis for DFIG wind turbine drivetrain gearboxes using frequency analysis and a deep classifier
F Cheng, J Wang, L Qu, W Qiao
Industry Applications Society Annual Meeting, 2017 IEEE, 1-9, 2017
1192017
Adaptive multiscale noise tuning stochastic resonance for health diagnosis of rolling element bearings
J Wang, Q He, F Kong
IEEE Transactions on instrumentation and measurement 64 (2), 564-577, 2014
1152014
Wayside acoustic diagnosis of defective train bearings based on signal resampling and information enhancement
Q He, J Wang, F Hu, F Kong
Journal of Sound and Vibration 332 (21), 5635-5649, 2013
1112013
Time-frequency manifold as a signature for machine health diagnosis
Q He, Y Liu, Q Long, J Wang
IEEE Transactions on Instrumentation and Measurement 61 (5), 1218-1230, 2012
982012
An adaptive and efficient variational mode decomposition and its application for bearing fault diagnosis
X Jiang, J Wang, C Shen, J Shi, W Huang, Z Zhu, Q Wang
Structural Health Monitoring 20 (5), 2708-2725, 2021
922021
Sensor Fault Detection and Isolation for a Wireless Sensor Network-Based Remote Wind Turbine Condition Monitoring System
Y Peng, W Qiao, L Qu, J Wang
IEEE Transactions on Industry Applications 54 (2), 1072-1079, 2018
802018
Sensor fault detection and isolation for a wireless sensor network-based remote wind turbine condition monitoring system
Y Peng, W Qiao, L Qu, J Wang
Industry Applications Society Annual Meeting, 2017 IEEE, 1-7, 2017
802017
Multisource domain feature adaptation network for bearing fault diagnosis under time-varying working conditions
R Wang, W Huang, J Wang, C Shen, Z Zhu
IEEE Transactions on Instrumentation and Measurement 71, 1-10, 2022
752022
Multi-source fidelity sparse representation via convex optimization for gearbox compound fault diagnosis
W Huang, Z Song, C Zhang, J Wang, J Shi, X Jiang, Z Zhu
Journal of Sound and vibration 496, 115879, 2021
702021
Multiscale filtering reconstruction for wind turbine gearbox fault diagnosis under varying-speed and noisy conditions
J Wang, F Cheng, W Qiao, L Qu
IEEE Transactions on Industrial Electronics 65 (5), 4268-4278, 2017
682017
Machinery health monitoring based on unsupervised feature learning via generative adversarial networks
J Dai, J Wang, W Huang, J Shi, Z Zhu
IEEE/ASME Transactions on Mechatronics 25 (5), 2252-2263, 2020
652020
Wavelet packet envelope manifold for fault diagnosis of rolling element bearings
J Wang, Q He
IEEE Transactions on Instrumentation and Measurement 65 (11), 2515-2526, 2016
652016
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