Transient modeling and parameter identification based on wavelet and correlation filtering for rotating machine fault diagnosis S Wang, W Huang, ZK Zhu Mechanical systems and signal processing 25 (4), 1299-1320, 2011 | 225 | 2011 |
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 | 207 | 2019 |
Bearing fault diagnosis via generalized logarithm sparse regularization Z Zhang, W Huang, Y Liao, Z Song, J Shi, X Jiang, C Shen, Z Zhu Mechanical Systems and Signal Processing 167, 108576, 2022 | 176 | 2022 |
Adaptive spectral kurtosis filtering based on Morlet wavelet and its application for signal transients detection H Liu, W Huang, S Wang, Z Zhu Signal Processing 96, 118-124, 2014 | 151 | 2014 |
Time-frequency squeezing and generalized demodulation combined for variable speed bearing fault diagnosis W Huang, G Gao, N Li, X Jiang, Z Zhu IEEE Transactions on Instrumentation and Measurement 68 (8), 2819-2829, 2018 | 133 | 2018 |
Sparse representation of transients in wavelet basis and its application in gearbox fault feature extraction W Fan, G Cai, ZK Zhu, C Shen, W Huang, L Shang Mechanical Systems and Signal Processing 56, 230-245, 2015 | 126 | 2015 |
Multiple enhanced sparse decomposition for gearbox compound fault diagnosis N Li, W Huang, W Guo, G Gao, Z Zhu IEEE Transactions on Instrumentation and Measurement 69 (3), 770-781, 2019 | 114 | 2019 |
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 | 112 | 2021 |
Adaptive deep feature learning network with Nesterov momentum and its application to rotating machinery fault diagnosis S Tang, C Shen, D Wang, S Li, W Huang, Z Zhu Neurocomputing 305, 1-14, 2018 | 102 | 2018 |
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 | 96 | 2022 |
Moment matching-based intraclass multisource domain adaptation network for bearing fault diagnosis Y Xia, C Shen, D Wang, Y Shen, W Huang, Z Zhu Mechanical Systems and Signal Processing 168, 108697, 2022 | 90 | 2022 |
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 | 80 | 2021 |
Transient signal analysis based on Levenberg–Marquardt method for fault feature extraction of rotating machines S Wang, G Cai, Z Zhu, W Huang, X Zhang Mechanical Systems and Signal Processing 54, 16-40, 2015 | 72 | 2015 |
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 | 71 | 2020 |
Nonconvex group sparsity signal decomposition via convex optimization for bearing fault diagnosis W Huang, N Li, I Selesnick, J Shi, J Wang, L Mao, X Jiang, Z Zhu IEEE Transactions on Instrumentation and Measurement 69 (7), 4863-4872, 2019 | 70 | 2019 |
A new l0-norm embedded MED method for roller element bearing fault diagnosis at early stage of damage X Jiang, X Cheng, J Shi, W Huang, C Shen, Z Zhu Measurement 127, 414-424, 2018 | 60 | 2018 |
Federated adversarial domain generalization network: A novel machinery fault diagnosis method with data privacy R Wang, W Huang, M Shi, J Wang, C Shen, Z Zhu Knowledge-Based Systems 256, 109880, 2022 | 56 | 2022 |
Self-adaptive multivariate variational mode decomposition and its application for bearing fault diagnosis Q Song, X Jiang, S Wang, J Guo, W Huang, Z Zhu IEEE Transactions on Instrumentation and Measurement 71, 1-13, 2022 | 54 | 2022 |
Transient extraction based on minimax concave regularized sparse representation for gear fault diagnosis W Huang, S Li, X Fu, C Zhang, J Shi, Z Zhu Measurement 151, 107273, 2020 | 52 | 2020 |
Long-term performance prediction of PEMFC based on LASSO-ESN K He, L Mao, J Yu, W Huang, Q He, L Jackson IEEE Transactions on Instrumentation and Measurement 70, 1-11, 2021 | 49 | 2021 |