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Xiang Jiawei
Xiang Jiawei
Professor of Mechanical Engineering, Wenzhou University
Verified email at wzu.edu.cn
Title
Cited by
Cited by
Year
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
5172015
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
4752016
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
2182018
Latest developments in gear defect diagnosis and prognosis: A review
A Kumar, CP Gandhi, Y Zhou, R Kumar, J Xiang
Measurement 158, 107735, 2020
1732020
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
1482021
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
1322022
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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