Follow
Wang, Yanxue
Wang, Yanxue
Professor of Beijing University of Civil Engineering and Architecture
Verified email at bucea.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
5382015
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
5002016
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
3082010
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
2292011
Filter bank property of variational mode decomposition and its applications
Y Wang, R Markert
Signal Processing 120, 509-521, 2016
2192016
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
2192010
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
2052017
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
1622009
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
1302018
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
1232013
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
1232012
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
1182016
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
1122015
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
1112017
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
862015
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
782012
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
772016
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
642017
Synchrosqueezing extracting transform and its application in bearing fault diagnosis under non-stationary conditions
Q Liu, Y Wang, Y Xu
Measurement 173, 108569, 2021
612021
The system can't perform the operation now. Try again later.
Articles 1–20