Changqing Shen / 沈长青

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Zhongkui Zhu Soochow UniversityProfessor of Mechanical Engineering, SOOCHOW UNIVERSITYGeverifieerd e-mailadres voor suda.edu.cn
weiguo HuangSoochow UniversityGeverifieerd e-mailadres voor suda.edu.cn
Dong WANGAssociate Professor, Shanghai Jiao Tong UniversityGeverifieerd e-mailadres voor sjtu.edu.cn
Juanjuan ShiSoochow UniversityGeverifieerd e-mailadres voor suda.edu.cn
Xingxing Jiang (江星星)Professor, Soochow UniversityGeverifieerd e-mailadres voor suda.edu.cn
Jun Wang （王俊）Professor, School of Rail Transportation, Soochow UniversityGeverifieerd e-mailadres voor mail.ustc.edu.cn
Jun Zhu / 朱军Associate Professor, School of Civil Aviation, Northwestern Polytechnical UniversityGeverifieerd e-mailadres voor nwpu.edu.cn
Chuancang Ding / 丁传仓Soochow UniversityGeverifieerd e-mailadres voor suda.edu.cn
Fang LiuDepartment of Mechanical Engineering, Anhui UniversityGeverifieerd e-mailadres voor ahu.edu.cn
Min Xia, Ph.D.Associate Professor, University of Western Ontario, CanadaGeverifieerd e-mailadres voor uwo.ca
Qi LiTsinghua UniversityGeverifieerd e-mailadres voor mails.tsinghua.edu.cn
Gaigai CaiXidian UniversityGeverifieerd e-mailadres voor xidian.edu.cn
Xiaojie GuoIBM TJ Watson Research CenterGeverifieerd e-mailadres voor gmu.edu
Shilong SUNAssociate Professor at Harbin Institute of Technology, ShenzhenGeverifieerd e-mailadres voor hit.edu.cn
Wei Fan 樊薇Jiangsu UniversityGeverifieerd e-mailadres voor my.cityu.edu.hk
Qingbo HeUSTC，SJTUGeverifieerd e-mailadres voor sjtu.edu.cn
Yongbin LiuAnhui UniversityGeverifieerd e-mailadres voor ustc.edu.cn
Chuan LIProfessor, Chongqing Technology and Business UniversityGeverifieerd e-mailadres voor ctbu.edu.cn
Tongtong YanPostDoc Position, University of Western Ontario, CanadaGeverifieerd e-mailadres voor uwo.ca
Haidong ShaoAssociate Professor, College of Mechanical and Vehicle Engineering, Hunan University,Geverifieerd e-mailadres voor hnu.edu.cn

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Changqing Shen / 沈长青

Professor, Soochow University / 苏州大学

Geverifieerd e-mailadres voor suda.edu.cn - Homepage

Signal processing Data mining Fault diagnosis Mechanical engineering


Titel Sorteren op citaties Sorteren op jaar Sorteren op titel	Geciteerd door Geciteerd door	Jaar
Hierarchical adaptive deep convolution neural network and its application to bearing fault diagnosis X Guo, L Chen, C Shen Measurement 93, 490-502, 2016	842	2016
Multi-scale deep intra-class transfer learning for bearing fault diagnosis X Wang, C Shen, M Xia, D Wang, J Zhu, Z Zhu Reliability Engineering & System Safety 202, 107050, 2020	285	2020
Fault diagnosis of rotating machinery based on the statistical parameters of wavelet packet paving and a generic support vector regressive classifier C Shen, D Wang, F Kong, PW Tse Measurement 46 (4), 1551-1564, 2013	283	2013
A new data-driven transferable remaining useful life prediction approach for bearing under different working conditions J Zhu, N Chen, C Shen Mechanical Systems and Signal Processing 139, 106602, 2020	282	2020
Stacked sparse autoencoder-based deep network for fault diagnosis of rotating machinery Y Qi, C Shen, D Wang, J Shi, X Jiang, Z Zhu Ieee Access 5, 15066-15079, 2017	260	2017
A new deep transfer learning method for bearing fault diagnosis under different working conditions J Zhu, N Chen, C Shen IEEE Sensors Journal 20 (15), 8394-8402, 2019	252	2019
A coarse-to-fine decomposing strategy of VMD for extraction of weak repetitive transients in fault diagnosis of rotating machines X Jiang, J Wang, J Shi, C Shen, W Huang, Z Zhu Mechanical Systems and Signal Processing 116, 668-692, 2019	209	2019
Initial center frequency-guided VMD for fault diagnosis of rotating machines X Jiang, C Shen, J Shi, Z Zhu Journal of Sound and Vibration 435, 36-55, 2018	204	2018
Fault diagnosis of rotating machines based on the EMD manifold J Wang, G Du, Z Zhu, C Shen, Q He Mechanical Systems and Signal Processing 135, 106443, 2020	194	2020
Bearing fault diagnosis via generalized logarithm sparse regularization Z Zhang, W Huang, Y Liao, Z Song, J Shi, X Jiang, C Shen, Z Zhu Mechanical Systems and Signal Processing 167, 108576, 2022	178	2022
An automatic and robust features learning method for rotating machinery fault diagnosis based on contractive autoencoder C Shen, Y Qi, J Wang, G Cai, Z Zhu Engineering Applications of Artificial Intelligence 76, 170-184, 2018	175	2018
A New Multiple Source Domain Adaptation Fault Diagnosis Method Between Different Rotating Machines CS Jun Zhu, Nan Chen IEEE Transactions on Industrial Informatics, 2020	158	2020
Adversarial domain-invariant generalization: A generic domain-regressive framework for bearing fault diagnosis under unseen conditions L Chen, Q Li, C Shen, J Zhu, D Wang, M Xia IEEE Transactions on Industrial Informatics 18 (3), 1790-1800, 2021	151	2021
Fully interpretable neural network for locating resonance frequency bands for machine condition monitoring D Wang, Y Chen, C Shen, J Zhong, Z Peng, C Li Mechanical Systems and Signal Processing 168, 108673, 2022	143	2022
Knowledge mapping-based adversarial domain adaptation: A novel fault diagnosis method with high generalizability under variable working conditions Q Li, C Shen, L Chen, Z Zhu Mechanical Systems and Signal Processing 147, 107095, 2020	132	2020
Sparse representation of transients in wavelet basis and its application in gearbox fault feature extraction W Fan, G Cai, ZK Zhu, C Shen, W Huang, L Shang Mechanical Systems and Signal Processing 56, 230-245, 2015	126	2015
An adaptive and efficient variational mode decomposition and its application for bearing fault diagnosis X Jiang, J Wang, C Shen, J Shi, W Huang, Z Zhu, Q Wang Structural Health Monitoring 20 (5), 2708-2725, 2021	113	2021
Adaptive deep feature learning network with Nesterov momentum and its application to rotating machinery fault diagnosis S Tang, C Shen, D Wang, S Li, W Huang, Z Zhu Neurocomputing 305, 1-14, 2018	103	2018
Central frequency mode decomposition and its applications to the fault diagnosis of rotating machines X Jiang, Q Song, H Wang, G Du, J Guo, C Shen, Z Zhu Mechanism and Machine Theory 174, 104919, 2022	101	2022
Multisource domain feature adaptation network for bearing fault diagnosis under time-varying working conditions R Wang, W Huang, J Wang, C Shen, Z Zhu IEEE Transactions on Instrumentation and Measurement 71, 1-10, 2022	96	2022

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