Suivre
Wang, Yanxue
Wang, Yanxue
Professor of Beijing University of Civil Engineering and Architecture
Adresse e-mail validée de bucea.edu.cn
Titre
Citée par
Citée par
Année
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
5562015
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
5252016
Enhancement of signal denoising and multiple fault signatures detecting in rotating machinery using dual-tree complex wavelet transform
Y Wang, Z He, Y Zi
Mechanical Systems and Signal Processing 24 (1), 119-137, 2010
3122010
An adaptive SK technique and its application for fault detection of rolling element bearings
Y Wang, M Liang
Mechanical Systems and Signal Processing 25 (5), 1750-1764, 2011
2352011
Filter bank property of variational mode decomposition and its applications
Y Wang, R Markert
Signal Processing 120, 509-521, 2016
2292016
A comparative study on the local mean decomposition and empirical mode decomposition and their applications to rotating machinery health diagnosis
Y Wang, Z He, Y Zi
2222010
A novel intelligent method for bearing fault diagnosis based on affinity propagation clustering and adaptive feature selection
Z Wei, Y Wang, S He, J Bao
Knowledge-Based Systems 116, 1-12, 2017
2102017
A demodulation method based on improved local mean decomposition and its application in rub-impact fault diagnosis
Y Wang, Z He, Y Zi
Measurement Science and Technology 20 (2), 025704, 2009
1642009
Feature trend extraction and adaptive density peaks search for intelligent fault diagnosis of machines
Y Wang, Z Wei, J Yang
IEEE Transactions on Industrial Informatics 15 (1), 105-115, 2018
1332018
Identification of multiple transient faults based on the adaptive spectral kurtosis method
Y Wang, M Liang
Journal of Sound and Vibration 331 (2), 470-486, 2012
1292012
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
1242013
Bearing fault diagnosis based on variational mode decomposition and total variation denoising
S Zhang, Y Wang, S He, Z Jiang
Measurement Science and Technology 27 (7), 075101, 2016
1202016
Complex variational mode decomposition for signal processing applications
Y Wang, F Liu, Z Jiang, S He, Q Mo
Mechanical systems and signal processing 86, 75-85, 2017
1172017
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
1132015
Customized wavelet denoising using intra-and inter-scale dependency for bearing fault detection
L Zhen, H Zhengjia, Z Yanyang, W Yanxue
Journal of sound and vibration 313 (1-2), 342-359, 2008
1012008
Compressed sparse time–frequency feature representation via compressive sensing and its applications in fault diagnosis
Y Wang, J Xiang, Q Mo, S He
Measurement 68, 70-81, 2015
872015
Multifractal entropy based adaptive multiwavelet construction and its application for mechanical compound-fault diagnosis
S He, J Chen, Z Zhou, Y Zi, Y Wang, X Wang
Mechanical Systems and Signal Processing 76, 742-758, 2016
802016
Application of local mean decomposition to the surveillance and diagnostics of low-speed helical gearbox
Y Wang, Z He, J Xiang, Y Zi
Mechanism and Machine Theory 47, 62-73, 2012
792012
A hybrid approach to fault diagnosis of roller bearings under variable speed conditions
Y Wang, L Yang, J Xiang, J Yang, S He
Measurement Science and Technology 28 (12), 125104, 2017
682017
Rolling bearing fault diagnosis approach using probabilistic principal component analysis denoising and cyclic bispectrum
B Jiang, J Xiang, Y Wang
Journal of Vibration and Control 22 (10), 2420-2433, 2016
662016
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