Research on variational mode decomposition and its application in detecting rub-impact fault of the rotor system Y Wang, R Markert, J Xiang, W Zheng Mechanical Systems and Signal Processing 60, 243-251, 2015 | 538 | 2015 |
Spectral kurtosis for fault detection, diagnosis and prognostics of rotating machines: A review with applications Y Wang, J Xiang, R Markert, M Liang Mechanical Systems and Signal Processing 66, 679-698, 2016 | 500 | 2016 |
Convolutional neural network-based hidden Markov models for rolling element bearing fault identification S Wang, J Xiang, Y Zhong, Y Zhou Knowledge-Based Systems 144, 65-76, 2018 | 242 | 2018 |
Latest developments in gear defect diagnosis and prognosis: A review A Kumar, CP Gandhi, Y Zhou, R Kumar, J Xiang Measurement 158, 107735, 2020 | 191 | 2020 |
FEM simulation-based generative adversarial networks to detect bearing faults Y Gao, X Liu, J Xiang IEEE Transactions on Industrial Informatics 16 (7), 4961-4971, 2020 | 174 | 2020 |
Fault diagnosis of angle grinders and electric impact drills using acoustic signals A Glowacz, R Tadeusiewicz, S Legutko, W Caesarendra, M Irfan, H Liu, ... Applied Acoustics 179, 108070, 2021 | 165 | 2021 |
A data indicator-based deep belief networks to detect multiple faults in axial piston pumps S Wang, J Xiang, Y Zhong, H Tang Mechanical Systems and Signal Processing 112, 154-170, 2018 | 165 | 2018 |
Highly efficient fault diagnosis of rotating machinery under time-varying speeds using LSISMM and small infrared thermal images X Li, H Shao, S Lu, J Xiang, B Cai IEEE Transactions on Systems, Man, and Cybernetics: Systems 52 (12), 7328-7340, 2022 | 157 | 2022 |
Wavelet‐based detection of beam cracks using modal shape and frequency measurements J Xiang, M Liang Computer‐Aided Civil and Infrastructure Engineering 27 (6), 439-454, 2012 | 154 | 2012 |
Novel convolutional neural network (NCNN) for the diagnosis of bearing defects in rotary machinery A Kumar, G Vashishtha, CP Gandhi, Y Zhou, A Glowacz, J Xiang IEEE Transactions on Instrumentation and Measurement 70, 1-10, 2021 | 150 | 2021 |
Crack detection in a shaft by combination of wavelet-based elements and genetic algorithm J Xiang, Y Zhong, X Chen, Z He International journal of solids and structures 45 (17), 4782-4795, 2008 | 142 | 2008 |
Improved deep convolution neural network (CNN) for the identification of defects in the centrifugal pump using acoustic images A Kumar, CP Gandhi, Y Zhou, R Kumar, J Xiang Applied Acoustics 167, 107399, 2020 | 139 | 2020 |
Theoretical investigation of the contributions of the excitation forces to the vibration of an axial piston pump S Ye, J Zhang, B Xu, S Zhu, J Xiang, H Tang Mechanical Systems and Signal Processing 129, 201-217, 2019 | 125 | 2019 |
Detect damages in conical shells using curvature mode shape and wavelet finite element method J Xiang, T Matsumoto, Y Wang, Z Jiang International Journal of Mechanical Sciences 66, 83-93, 2013 | 123 | 2013 |
A personalized diagnosis method to detect faults in gears using numerical simulation and extreme learning machine X Liu, H Huang, J Xiang Knowledge-Based Systems 195, 105653, 2020 | 122 | 2020 |
Rolling element bearing fault detection using PPCA and spectral kurtosis J Xiang, Y Zhong, H Gao Measurement 75, 180-191, 2015 | 121 | 2015 |
Optimization of VMD using kernel-based mutual information for the extraction of weak features to detect bearing defects A Kumar, Y Zhou, J Xiang Measurement 168, 108402, 2021 | 118 | 2021 |
The construction of 1D wavelet finite elements for structural analysis JW Xiang, XF Chen, ZJ He, HB Dong Computational Mechanics 40 (2), 325-339, 2007 | 118 | 2007 |
A hybrid fault diagnosis method using morphological filter–translation invariant wavelet and improved ensemble empirical mode decomposition L Meng, J Xiang, Y Wang, Y Jiang, H Gao Mechanical Systems and Signal Processing 50, 101-115, 2015 | 112 | 2015 |
A two-step approach to multi-damage detection for plate structures J Xiang, M Liang Engineering Fracture Mechanics 91, 73-86, 2012 | 109 | 2012 |