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Xiang Jiawei
Xiang Jiawei
Professor of Mechanical Engineering, Wenzhou University
Zweryfikowany adres z wzu.edu.cn
Tytuł
Cytowane przez
Cytowane przez
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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
5182015
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
4762016
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
2202018
Latest developments in gear defect diagnosis and prognosis: A review
A Kumar, CP Gandhi, Y Zhou, R Kumar, J Xiang
Measurement 158, 107735, 2020
1772020
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
1532012
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
1512018
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
1492021
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
1402008
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
1372021
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
1352020
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
1332022
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
1222013
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
1202020
Rolling element bearing fault detection using PPCA and spectral kurtosis
J Xiang, Y Zhong, H Gao
Measurement 75, 180-191, 2015
1182015
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
1162019
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
1152007
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
1092015
A two-step approach to multi-damage detection for plate structures
J Xiang, M Liang
Engineering Fracture Mechanics 91, 73-86, 2012
1062012
Damage detection method for wind turbine blades based on dynamics analysis and mode shape difference curvature information
Y Wang, M Liang, J Xiang
Mechanical Systems and Signal Processing 48 (1-2), 351-367, 2014
1042014
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
1002021
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