Dong WANG

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Changqing Shen / 沈长青Professor, Soochow University / 苏州大学E-mail confirmado em suda.edu.cn
Tangbin XiaShanghai Jiao Tong UniversityE-mail confirmado em sjtu.edu.cn
Bingchang HOU/侯炳昌Ph.D. candidate, Shanghai Jiao Tong UniversityE-mail confirmado em sjtu.edu.cn
Tongtong YanPostDoc Position, University of Western Ontario, CanadaE-mail confirmado em uwo.ca
Qiang MiaoProfessor, College of Electrical Engineering, Sichuan UniversityE-mail confirmado em scu.edu.cn
Fangfang YANGAssociate Professor, Sun Yat-sen UniversityE-mail confirmado em mail.sysu.edu.cn
Zhongkui Zhu Soochow UniversityProfessor of Mechanical Engineering, SOOCHOW UNIVERSITYE-mail confirmado em suda.edu.cn
YANG ZHAOSchool of Public Health (Shenzhen), Sun Yat-sen UniversityE-mail confirmado em mail.sysu.edu.cn
Jinzhen Kong （孔金震)Hebei University of TechnologyE-mail confirmado em sjtu.edu.cn
Shilong SUNAssociate Professor at Harbin Institute of Technology, ShenzhenE-mail confirmado em hit.edu.cn
Jiang YiminShanghai jiaotong universityE-mail confirmado em sjtu.edu.cn
Chuan LIProfessor, Chongqing Technology and Business UniversityE-mail confirmado em ctbu.edu.cn
meimei zhengShanghai Jiao Tong UniversityE-mail confirmado em sjtu.edu.cn
Yikai ChenShanghai Jiao Tong UniversityE-mail confirmado em sjtu.edu.cn
Guojin SiShanghai Jiao Tong UniversityE-mail confirmado em sjtu.edu.cn
Michael G. PechtUniversity of MarylandE-mail confirmado em umd.edu
weiguo HuangSoochow UniversityE-mail confirmado em suda.edu.cn
Suk Joo BaeHanyang UniversityE-mail confirmado em hanyang.ac.kr
Sha WeiShanghai Jiao Tong UniversityE-mail confirmado em sjtu.edu.cn
Xiaolei FangAssociate Professor, Fitts Department of Industrial and Systems Engineering, NC State UniversityE-mail confirmado em ncsu.edu

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Dong WANG

Outros nomes王冬

Associate Professor, Shanghai Jiao Tong University

E-mail confirmado em sjtu.edu.cn - Página inicial

Prognostics and Health Management Fault diagnosis Condition monitoring


Título Ordenar por citações Ordenar por ano Ordenar por título	Citado por Citado por	Ano
Prognostics and Health Management: A Review of Vibration based Bearing and Gear Health Indicators D Wang, KL Tsui, Q Miao IEEE Access 6, 665-676, 2018	470	2018
An enhanced Kurtogram method for fault diagnosis of rolling element bearings D Wang, PW Tse, KL Tsui Mechanical Systems and Signal Processing 35 (1-2), 176–199, 2013	458	2013
Prognostics of lithium-ion batteries based on relevance vectors and a conditional three-parameter capacity degradation model D Wang, Q Miao, M Pecht Journal of Power Sources 239 (1), 253–264, 2013	391	2013
A study of the relationship between coulombic efficiency and capacity degradation of commercial lithium-ion batteries F Yang, D Wang, Y Zhao, KL Tsui, S Bae Energy 145, 486-495, 2018	318	2018
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	282	2013
Remaining useful life prediction of lithium-ion batteries based on spherical cubature particle filter D Wang, F Yang, KL Tsui, Q Zhou, SJ Bae IEEE Transactions on Instrumentation and Measurement 65 (6), 1282 - 1291, 2016	270	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 and System Safety, 2020	267	2020
Combined CNN-LSTM network for state-of-charge estimation of lithium-ion batteries X Song, F Yang, D Wang, KL Tsui IEEE Access 7, 88894 - 88902, 2017	264	2017
Sparsity guided empirical wavelet transform for fault diagnosis of rolling element bearings D Wang, Y Zhao, C Yi, KL Tsui, JH Lin Mechanical Systems and Signal Processing 101, 292-308, 2018	261	2018
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, 2017	255	2017
The design of a new sparsogram for fast bearing fault diagnosis: Part 1 of the two related manuscripts that have a joint title as "Two automatic vibration-based fault … PW Tse, D Wang Mechanical Systems and Signal Processing 40 (2), 499–519, 2013	237	2013
A comparative study of three model-based algorithms for estimating state-of-charge of lithium-ion batteries under a new combined dynamic loading profile F Yang, YX Xing, D Wang, KL Tsui Applied Energy 164, 387–399, 2016	224	2016
Some further thoughts about spectral kurtosis, spectral L2/L1 norm, spectral smoothness index and spectral Gini index for characterizing repetitive transients D Wang Mechanical Systems and Signal Processing 108, 360–368, 2018	209	2018
K-nearest neighbors based methods for identification of different gear crack levels under different motor speeds and loads: revisited D Wang Mechanical Systems and Signal Processing 70, 201-208, 2016	194	2016
The Sum of Weighted Normalized Square Envelope: A Unified Framework for Kurtosis, Negative Entropy, Gini Index and Smoothness Index for Machine Health Monitoring D Wang, Z Peng, L Xi Mechanical Systems and Signal Processing 140, 106725, 2020	166	2020
Lifespan Prediction of Lithium-ion Batteries based on Various Extracted Features and Gradient Boosting Regression Tree Model F Yang, D Wang, F Xu, ZL Huang, KL Tsui Journal of Power Sources, 2020	162	2020
Robust health evaluation of gearbox subject to tooth failure with wavelet decomposition D Wang, Q Miao, R Kang Journal of Sound and Vibration 324 (3-5), 1141-1157, 2009	151	2009
Spectral L2/L1 norm: A new perspective for spectral kurtosis for characterizing non-stationary signals D Wang Mechanical Systems and Signal Processing 104, 290-293, 2018	146	2018
Robustness Evaluation of Extended and Unscented Kalman Filter for Battery State of Charge Estimation C Huang, Z Wang, Z Zhao, L Wang, CSL Lai, D Wang IEEE Access 6, 27617 - 27628, 2015	144	2015
A simple and fast guideline for generating enhanced/squared envelope spectra from spectral coherence for bearing fault diagnosis D Wang, X Zhao, LL Kou, Y Qin, Y Zhao, KL Tsui Mechanical Systems and Signal Processing 122, 754-768, 2019	135	2019

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