| 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 | 519 | 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 | 479 | 2016 |
| 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 | 305 | 2010 |
| 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 | 223 | 2011 |
| 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 | 214 | 2010 |
| Filter bank property of variational mode decomposition and its applications Y Wang, R Markert Signal Processing 120, 509-521, 2016 | 210 | 2016 |
| 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 | 190 | 2017 |
| 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 | 160 | 2009 |
| 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 | 122 | 2013 |
| 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 | 119 | 2012 |
| 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 | 118 | 2018 |
| 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 | 115 | 2016 |
| 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 | 109 | 2015 |
| 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 | 106 | 2017 |
| 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 | 100 | 2008 |
| 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 | 83 | 2015 |
| 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 | 77 | 2012 |
| 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 | 76 | 2016 |
| 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 | 63 | 2017 |
| 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 | 61 | 2016 |
Xiang JiaweiProfessor of Mechanical Engineering, Wenzhou UniversityBestätigte E-Mail-Adresse bei wzu.edu.cn
