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Dong Wang 0001

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affiliation: Shanghai Jiao Tong University, Department of Industrial Engineering and Management, State Key Laboratory of Mechanical System and Vibration, Shanghai, China
affiliation: Shanghai Jiao Tong University, University of Michigan - Shanghai Jiao Tong University Joint Institute, Shanghai, China
affiliation (PhD 2015): City University of Hong Kong, Department of Systems Engineering and Engineering Management, Hong Kong

Other persons with the same name

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Dong Wang — disambiguation page
Dong Wang 0002 — University of Illinois at Urbana-Champaign, Urbana, IL, USA (and 2 more)
Dong Wang 0003 — Dalian University of Technology, School of Control Science and Engineering, China (and 2 more)
Dong Wang 0004 — Dalian University of Technology, School of Information and Communication Engineering, Faculty of Electronic Information and Electrical Engineering, China (and 2 more)
Dong Wang 0005 — Chongqing University of Post and Telecommunications, Key Laboratory of Computer Network and Communication Technology of China, China
Dong Wang 0006 — Nanyang Technological University, School of Electrical and Electronic Engineering, Singapore
Dong Wang 0007 — Beijing Jiaotong University, Institute of Transportation System Science and Engineering, China
Dong Wang 0008 — University of Utah, Department of Mathematics, Salt Lake City, UT, USA (and 1 more)
Dong Wang 0009 — Nanjing University of Science and Technology, School of Science, China (and 1 more)
Dong Wang 0010 — Rutgers University, Department of Statistics and Biostatistics, Piscataway, NJ, USA (and 2 more)

Dong Wang 0011 — Southern Medical University, Guangzhou, China (and 3 more)
Dong Wang 0012 — Anhui University, School of Physics and Material Science, Hefei, China (and 1 more)
Dong Wang 0013 — Tsinghua University, Center for Speech and Language Technologies, Beijing, China (and 3 more)
Dong Wang 0014 — Southeast University, School of Information Science and Engineering, Nanjing, China
Dong Wang 0015 — Guangdong University of Technology, Guangzhou, China (and 2 more)
Dong Wang 0016 — Hunan University, College of Computer Science and Electronics Engineering, Changsha, China
Dong Wang 0017 — Tongji University, School of Electronics and Information, Shanghai, China
Dong Wang 0018 — University of Electronic Science and Technology of China, School of Computer Science and Engineering, Chengdu, China
Dong Wang 0019 — Wuhan University, State Key Lab of Information Engineering in Surveying, Mapping and Remote Sensing, China (and 1 more)
Dong Wang 0020 — Guangzhou University, School of Management, China
Dong Wang 0021 — University of Jinan, Shandong Provincial Key laboratory of Network Based Intelligent Computing, China (and 1 more)
Dong Wang 0022 — Meituan, Beijing, China (and 2 more)
Dong Wang 0023 — Aalborg University, Department of Energy Technology, Denmark
Dong Wang 0024 — Shanghai Jiao Tong University, School of Software, China
Dong Wang 0025 — Dalian University of Technology, School of Control Science and Engineering, China (and 1 more)
Dong Wang 0026 — Naval University of Engineering, National Key Laboratory of Science and Technology on Vessel Integrated Power System, Wuhan, China
Dong Wang 0027 — Chinese Academy of Sciences, Institute of Computing Technology, China (and 1 more)
Dong Wang 0028 — Northwestern Polytechnical University, Xi'an, China
Dong Wang 0029 — Chinese Academy of Sciences, Institute of Information Engineering, Beijing, China (and 1 more)
Dong Wang 0030 — Harbin Institute of the Technology, Department of State Key Laboratory of Robotics and System, China
Dong Wang 0031 — New Star Research Institute of Applied Technology, Hefei, China (and 1 more)
Dong Wang 0032 — Beijing Jiaotong University, State Key Laboratory of Rail Traffic Control and Safety, China
Dong Wang 0033 — Chinese Academy of Sciences, Institute of Microelectronics, Department of High-Frequency High-Voltage Device / Integrated Circuits Center, Beijing, China
Dong Wang 0034 — Army Engineering University of PLA, College of Field Engineering, Nanjing, China (and 1 more)
Dong Wang 0035 — Hefei University of Technology, School of Management, China
Dong Wang 0036 — Southeast University, School of Instrument Science and Engineering, Nanjing, China
Dong Wang 0037 — Duke University, Durham, NC, USA (and 1 more)
Dong Wang 0038 — Taiyuan University of Technology, Taiyuan, China (and 1 more)
Dong Wang 0039 — Dalian Minzu University, College of Engineering Education, Dalian, China
Dong Wang 0040 — Beijing Jiaotong University, Institute of Information Science, Beijing Key Laboratory of Advanced Information Science and Network Technology, China (and 2 more)
Dong Wang 0041 — South China Agricultural University, College of Mathematics and Informatics, China
Dong Wang 0042 — Xidian University, Xi'an, China
Dong Wang 0043 — Hefei University of Technology, School of Computer Science and Information Engineering, Hefei, China
Dong Wang 0044 — Tianjin University, Software Analysis and Intelligence Lab, Nanjing, China (and 2 more)
Dong Wang 0045 — Kyushu University, Interdisciplinary Graduate School of Engineering Science, Fukuoka, Japan
Dong Wang 0046 — Philips Research North America, Briarcliff Manor, NY, USA (and 1 more)
Dong Wang 0047 — China Telecom Research Institute, 6G Research Center, Beijing, China (and 1 more)
Dong Wang 0048 — Chinese Academy of Sciences, Institute of Software, Beijing, China
Dong Wang 0049 — Shanghai Jiao Tong University, School of Mechanical Engineering, State Key Laboratory of Mechanical System and Vibration, Shanghai, China (and 2 more)

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2020 – today

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2025
[j101]
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Shijun Xie, Changqing Shen, Dong Wang, Juanjuan Shi, Weiguo Huang, Zhongkui Zhu:
A new lifelong learning method based on dual distillation for bearing diagnosis with incremental fault types. Adv. Eng. Informatics 65: 103136 (2025)
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Xiaoqiang Liao, Dong Wang, Siqi Qiu, Min Xia, Xinguo Ming:
SLDAE: An interpretable stacked Denoising Auto-Encoders for fan fault diagnosis on steelmaking workshops. Adv. Eng. Informatics 65: 103260 (2025)
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Xuyang Tao, Changqing Shen, Lin Li, Dong Wang, Juanjuan Shi, Zhongkui Zhu:
Semi-supervised feature contrast incremental learning framework for bearing fault diagnosis with limited labeled samples. Appl. Soft Comput. 176: 113172 (2025)
[j98]
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Tongtong Yan, Xueqi Xing, Dong Wang, Kwok-Leung Tsui, Min Xia:
Interpretable degradation tensor modeling through multi-scale and multi-level time-frequency feature fusion for machine health monitoring. Inf. Fusion 117: 102935 (2025)
[j97]
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Qingwei Wang, Chang Liu, Meimei Zheng, Dong Wang, Ershun Pan:
Integrated Planning of Multiple Spare Parts Inventory, Warranty, and Service Engineers for a Service-Oriented Manufacturer. IEEE Trans Autom. Sci. Eng. 22: 788-801 (2025)
[j96]
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Di Wang, Xiaochen Xian, Haidong Li, Dong Wang:
Distribution-Agnostic Probabilistic Few-Shot Learning for Multimodal Recognition and Prediction. IEEE Trans Autom. Sci. Eng. 22: 1941-1957 (2025)
[j95]
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Yuhui Wang, Andi Wang, Di Wang, Dong Wang:
Deep Learning-Based Sensor Selection for Failure Mode Recognition and Prognostics Under Time-Varying Operating Conditions. IEEE Trans Autom. Sci. Eng. 22: 9252-9274 (2025)
[j94]
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Yutong Ding, Tangbin Xia, Kaigan Zhang, Dong Wang, Meimei Zheng, Ershun Pan, Lifeng Xi:
Component-Targeting Opportunistic Maintenance Policy for Multi-Machine System Considering Hierarchical Structural Dependencies. IEEE Trans Autom. Sci. Eng. 22: 9302-9314 (2025)
[j93]
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Yikai Chen, Dong Wang, Jie Liu, Qingyun Huang, Ming Lu:
Generalized Exponential Degradation Model for a Tradeoff Between Prior and Posterior Model Parameters Distributions. IEEE Trans. Instrum. Meas. 74: 1-11 (2025)
[j92]
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Ao Chen, Zhiyuan Wu, Dongwu Li, Dong Wang, Wen-Ming Zhang:
Sparsity Measures-Enhanced Targeted Diffusion Probabilistic Model for Acoustic Signal Recovery. IEEE Trans. Instrum. Meas. 74: 1-13 (2025)
[j91]
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Yujie Mou, Dong Wang, Jie Liu, Wang Shi, Shiyu Hu, Ming Lu:
Adaptive Online Discrete Degradation State Distribution Prediction Methodology for Cloud Computing Optical Fiber Ports. IEEE Trans. Instrum. Meas. 74: 1-12 (2025)
[c4]
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Meiyu Yin, Jingwen Li, Qingsong Li, Dixiang Gao, Xiqing Liu, Dong Wang, Mugen Peng:
RESPEC: A Super-Resolution Algorithm for Multi-Target Sensing in OFDM-ISAC Systems. WCNC 2025: 1-6
2024
[j90]
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Tangbin Xia, Xueqi Xing, Tongtong Yan, Dong Wang, Ershun Pan, Lifeng Xi:
Interpretable temporal degradation state chain based fusion graph for intelligent bearing fault detection. Adv. Eng. Informatics 59: 102342 (2024)
[j89]
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Zhenzhong He, Changqing Shen, Bojian Chen, Juanjuan Shi, Weiguo Huang, Zhongkui Zhu, Dong Wang:
A new feature boosting based continual learning method for bearing fault diagnosis with incremental fault types. Adv. Eng. Informatics 61: 102469 (2024)
[j88]
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Shilong Sun, Hao Ding, Zida Zhao, Wenfu Xu, Dong Wang:
SCG-GFFE: A Self-Constructed graph fault feature extractor based on graph Auto-encoder algorithm for unlabeled single-variable vibration signals of harmonic reducer. Adv. Eng. Informatics 62: 102579 (2024)
[j87]
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Tangbin Xia, Dongyang Han, Yimin Jiang, Yiping Shao, Dong Wang, Ershun Pan, Lifeng Xi:
Remaining useful life estimation based on selective ensemble of deep neural networks with diversity. Adv. Eng. Informatics 62: 102608 (2024)
[j86]
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Yuhui Xu, Tangbin Xia, Dong Wang, Zhen Chen, Ershun Pan, Lifeng Xi:
Dynamic time scales ensemble framework for similarity-based remaining useful life prediction under multiple failure modes. Eng. Appl. Artif. Intell. 127(Part B): 107389 (2024)
[j85]
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Tongtong Yan, Xueqi Xing, Tangbin Xia, Dong Wang:
Relation between fault characteristic frequencies and local interpretability shapley additive explanations for continuous machine health monitoring. Eng. Appl. Artif. Intell. 136: 109046 (2024)
[j84]
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Tangbin Xia, Yimin Jiang, Yutong Ding, Guojin Si, Dong Wang, Ershun Pan, Lifeng Xi:
Intelligent Maintenance Framework for Reconfigurable Manufacturing With Deep-Learning-Based Prognostics. IEEE Internet Things J. 11(13): 22853-22868 (2024)
[j83]
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Yan Zhang, Changqing Shen, Juanjuan Shi, Chuan Li, Xinhai Lin, Zhongkui Zhu, Dong Wang:
Deep adaptive sparse residual networks: A lifelong learning framework for rotating machinery fault diagnosis with domain increments. Knowl. Based Syst. 293: 111679 (2024)
[j82]
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Meimei Zheng, Zhiyun Su, Dong Wang, Ershun Pan:
Joint maintenance and spare part ordering from multiple suppliers for multicomponent systems using a deep reinforcement learning algorithm. Reliab. Eng. Syst. Saf. 241: 109628 (2024)
[j81]
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Jie Liu, Bingchang Hou, Ming Lu, Dong Wang:
Box-Cox transformation based state-space modeling as a unified prognostic framework for degradation linearization and RUL prediction enhancement. Reliab. Eng. Syst. Saf. 244: 109952 (2024)
[j80]
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Yu Wang, Tangbin Xia, Yuhui Xu, Guojin Si, Dong Wang, Ershun Pan, Lifeng Xi:
Quality-centered production and maintenance scheduling for multi-machine manufacturing systems under variable operating conditions. Reliab. Eng. Syst. Saf. 250: 110264 (2024)
[j79]
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Yuhui Xu, Tangbin Xia, Yimin Jiang, Yu Wang, Dong Wang, Ershun Pan, Lifeng Xi:
A temporal partial domain adaptation network for transferable prognostics across working conditions with insufficient data. Reliab. Eng. Syst. Saf. 250: 110273 (2024)
[j78]
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Hongyan Zhu, Changqing Shen, Lin Li, Dong Wang, Weiguo Huang, Zhongkui Zhu:
Reserving embedding space for new fault types: A new continual learning method for bearing fault diagnosis. Reliab. Eng. Syst. Saf. 252: 110433 (2024)
[j77]
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Meimei Zheng, Hongqing Ye, Dong Wang, Ershun Pan:
Joint Decisions of Components Replacement and Spare Parts Ordering Considering Different Supplied Product Quality. IEEE Trans Autom. Sci. Eng. 21(2): 1952-1964 (2024)
[j76]
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Bingchang Hou, Dong Wang, Zhike Peng, Kwok-Leung Tsui:
Adaptive Fault Components Extraction by Using an Optimized Weights Spectrum Based Index for Machinery Fault Diagnosis. IEEE Trans. Ind. Electron. 71(1): 985-995 (2024)
[j75]
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Qitong Chen, Liang Chen, Qi Li, Juanjuan Shi, Dong Wang, Changqing Shen:
Metric Learning-Based Few-Shot Adversarial Domain Adaptation: A Cross-Machine Diagnosis Method for Ball Screws of Industrial Robots. IEEE Trans. Instrum. Meas. 73: 1-10 (2024)
[j74]
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Jie Liu, Dong Wang, Yujie Mou, Zikang Chen, Ming Lu:
Adaptive Generalized Time Interval Cumulative Methodology for Optical Port Degradation Modeling in Cloud Computing Service. IEEE Trans. Instrum. Meas. 73: 1-12 (2024)
[j73]
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Shilong Sun, Hao Ding, Haodong Huang, Zida Zhao, Dong Wang, Wenfu Xu:
A Novel Cross-Domain Data Augmentation and Bearing Fault Diagnosis Method Based on an Enhanced Generative Model. IEEE Trans. Instrum. Meas. 73: 1-9 (2024)
[j72]
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Shilong Sun, Haodong Huang, Jian Ding, Dong Wang, Wenfu Xu:
Aeroengine Remaining Life Prediction Based on Advanced Health Index Construction and Gray Similarity Multiscale Matching. IEEE Trans. Instrum. Meas. 73: 1-11 (2024)
[j71]
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Yuyong Xiong, Xiangyi Tang, Songxu Li, Haibin Meng, Dong Wang, Guang Meng, Zhike Peng:
mmAcoustic: Full-Field Sound Source Localization, Identification, and Area-Selectable Sound Recovery via Millimeter-Wave Vibration Monitoring. IEEE Trans. Instrum. Meas. 73: 1-12 (2024)
[j70]
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Tongtong Yan, Dong Wang, Wang Shi, Shiyu Hu, Ming Lu:
Weight-Based Large Margin Hyperdisks for Explainable Performance Degradation Modeling. IEEE Trans. Instrum. Meas. 73: 1-11 (2024)
[j69]
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Tongtong Yan, Dong Wang, Yu Wang:
Discrimination- and Sparsity-Driven Weight-Oriented Optimization Model for Interpretable Initial Fault Detection and Fault Diagnosis. IEEE Trans. Instrum. Meas. 73: 1-13 (2024)
[j68]
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Zida Zhao, Shilong Sun, Dong Wang, Wenfu Xu:
MCVAE-GAN: A Novel Diagnosis Method for Solving Harmonic Reducer Fault Signal Scarcity and Sample Diversity Problem. IEEE Trans. Instrum. Meas. 73: 1-10 (2024)
[j67]
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Tongtong Yan, Dong Wang, Tangbin Xia, Ershun Pan, Zhike Peng, Lifeng Xi:
Online Piecewise Convex-Optimization Interpretable Weight Learning for Machine Life Cycle Performance Assessment. IEEE Trans. Neural Networks Learn. Syst. 35(5): 6048-6060 (2024)
[j66]
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Kaigan Zhang, Tangbin Xia, Guojin Si, Nagi Gebraeel, Dong Wang, Ershun Pan, Lifeng Xi:
A Collaborative Scheduling Algorithm for Real-Time Production and Opportunistic Maintenance Under Cloud Manufacturing Paradigm. IEEE Trans. Reliab. 73(1): 170-185 (2024)
[j65]
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Tongtong Yan, Dong Wang, Tangbin Xia, Lifeng Xi:
Novel Anchor Discrimination Learning for Physics-Informed Machine Degradation Modeling. IEEE Trans. Reliab. 73(1): 357-369 (2024)
[j64]
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Yimin Jiang, Tangbin Xia, Dong Wang, Yuhui Xu, Rourou Li, Ershun Pan, Lifeng Xi:
A Spatiotemporal Dynamic Wavelet Network for Infrared Thermography-Based Machine Prognostics. IEEE Trans. Syst. Man Cybern. Syst. 54(3): 1658-1665 (2024)
2023
[j63]
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Xiao Feng, Dong Wang, Bingchang Hou, Tongtong Yan:
Interpretable federated learning for machine condition monitoring: Interpretable average global model as a fault feature library. Eng. Appl. Artif. Intell. 124: 106632 (2023)
[j62]
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Qi Li, Liang Chen, Lin Kong, Dong Wang, Min Xia, Changqing Shen:
Cross-domain augmentation diagnosis: An adversarial domain-augmented generalization method for fault diagnosis under unseen working conditions. Reliab. Eng. Syst. Saf. 234: 109171 (2023)
[j61]
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Shilong Sun, Changqing Shen, Dong Wang:
Editorial for Special Issue: Machine Health Monitoring and Fault Diagnosis Techniques. Sensors 23(7): 3493 (2023)
[j60]
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Jin-Zhen Kong, Di Cui, Bingchang Hou, Xingchen Liu, Dong Wang:
New Short-Long-Term Degradation Model for Precise Battery Health Prognostics. IEEE Trans. Ind. Electron. 70(9): 9527-9537 (2023)
[j59]
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Yimin Jiang, Tangbin Xia, Xiaolei Fang, Dong Wang, Ershun Pan, Lifeng Xi:
Sparse Hierarchical Parallel Residual Networks Ensemble for Infrared Image Stream-Based Remaining Useful Life Prediction. IEEE Trans. Ind. Informatics 19(10): 10613-10623 (2023)
[j58]
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Ao Chen, Zhiyuan Wu, Dongwu Li, Dong Wang, Wen-Ming Zhang:
Acoustic Signals Recovering for Rubbing From Arbitrarily Structured Noise With Joint Iterative Probabilistic Sampling. IEEE Trans. Instrum. Meas. 72: 1-13 (2023)
[j57]
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Yafei Deng, Shichang Du, Dong Wang, Yiping Shao, Delin Huang:
A Calibration-Based Hybrid Transfer Learning Framework for RUL Prediction of Rolling Bearing Across Different Machines. IEEE Trans. Instrum. Meas. 72: 1-15 (2023)
[j56]
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Bingchang Hou, Jie Liu, Dong Wang:
Easier Computational Approach of Optimized Weights and Its Extensions for Learning Interpretable Machine Fault Features. IEEE Trans. Instrum. Meas. 72: 1-11 (2023)
[j55]
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Bingchang Hou, Dong Wang:
Optimal Noise Subtraction-Based Fault Components Extraction for Machinery Fault Diagnosis. IEEE Trans. Instrum. Meas. 72: 1-10 (2023)
[j54]
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Yao Liu, Bojian Chen, Dong Wang, Lin Kong, Juanjuan Shi, Changqing Shen:
A Lifelong Learning Method Based on Generative Feature Replay for Bearing Diagnosis With Incremental Fault Types. IEEE Trans. Instrum. Meas. 72: 1-11 (2023)
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Changqing Shen, Jing Tian, Jun Zhu, Juanjuan Shi, Zhongkui Zhu, Dong Wang:
A New Multisource Domain Bearing Fault Diagnosis Method With Adaptive Dual-Domain Obfuscation Weighting Strategy. IEEE Trans. Instrum. Meas. 72: 1-11 (2023)
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Shilong Sun, Haodong Huang, Tengyi Peng, Changqing Shen, Dong Wang:
A Data Privacy Protection Diagnosis Framework for Multiple Machines Vibration Signals Based on a Swarm Learning Algorithm. IEEE Trans. Instrum. Meas. 72: 1-9 (2023)
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Shilong Sun, Haodong Huang, Tengyi Peng, Dong Wang:
An Improved Data Privacy Diagnostic Framework for Multiple Machinery Components Data Based on Swarm Learning Algorithm. IEEE Trans. Instrum. Meas. 72: 1-9 (2023)
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Dong Wang, Yuchen Song:
Guest Editorial Special Section for Third International Conference on Sensing, Measurement, and Data Analytics in the Era of Artificial Intelligence (ICSMD 2022). IEEE Trans. Instrum. Meas. 72: 1-2 (2023)
[j49]
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Yu Wang, Dong Wang, Tongtong Yan:
Optimal Squared Wald Statistics-Based Methodology for On-Line Machine Condition Monitoring and Degradation Assessment. IEEE Trans. Instrum. Meas. 72: 1-12 (2023)
[j48]
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Yu Zhou, Lin Gao, Dong Wang, Wenhui Wu, Zhiqiang Zhou, Tingqun Ye:
Imbalanced Multifault Diagnosis via Improved Localized Feature Selection. IEEE Trans. Instrum. Meas. 72: 1-11 (2023)
[j47]
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Tongtong Yan, Yuting Wang, Tangbin Xia, Bingchang Hou, Lifeng Xi, Dong Wang:
Sparse and Flexible Convex-Hull Representation for Machine Degradation Modeling. IEEE Trans. Reliab. 72(1): 27-36 (2023)
[j46]
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Tongtong Yan, Dong Wang, Tangbin Xia, Ershun Pan, Zhike Peng, Lifeng Xi:
New Shapeness Property and Its Convex Optimization Model for Interpretable Machine Degradation Modeling. IEEE Trans. Reliab. 72(2): 703-715 (2023)
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Yimin Jiang, Yuhui Xu, Yutong Ding, Meimei Zheng, Dong Wang, Tangbin Xia, Lifeng Xi:
A Multiscale Sparse Ensemble Network for Machine Prognostics Based on Infrared Image Streams. CASE 2023: 1-6
2022
[j45]
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Yimin Jiang, Tangbin Xia, Dong Wang, Kaigan Zhang, Lifeng Xi:
Joint adaptive transfer learning network for cross-domain fault diagnosis based on multi-layer feature fusion. Neurocomputing 487: 228-242 (2022)
[j44]
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Guojin Si, Tangbin Xia, Nagi Gebraeel, Dong Wang, Ershun Pan, Lifeng Xi:
A reliability-and-cost-based framework to optimize maintenance planning and diverse-skilled technician routing for geographically distributed systems. Reliab. Eng. Syst. Saf. 226: 108652 (2022)
[j43]
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Tongtong Yan, Dong Wang, Tangbin Xia, Lifeng Xi:
A Generic Framework for Degradation Modeling Based on Fusion of Spectrum Amplitudes. IEEE Trans Autom. Sci. Eng. 19(1): 308-319 (2022)
[j42]
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Guojin Si, Tangbin Xia, Kaigan Zhang, Dong Wang, Ershun Pan, Lifeng Xi:
Technician Collaboration and Routing Optimization in Global Maintenance Scheduling for Multi-Center Service Networks. IEEE Trans Autom. Sci. Eng. 19(3): 1542-1554 (2022)
[j41]
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Tengyi Peng, Changqing Shen, Shilong Sun, Dong Wang:
Fault Feature Extractor Based on Bootstrap Your Own Latent and Data Augmentation Algorithm for Unlabeled Vibration Signals. IEEE Trans. Ind. Electron. 69(9): 9547-9555 (2022)
[j40]
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Jin-Zhen Kong, Dong Wang, Tongtong Yan, Jingzhe Zhu, Xi Zhang:
Accelerated Stress Factors Based Nonlinear Wiener Process Model for Lithium-Ion Battery Prognostics. IEEE Trans. Ind. Electron. 69(11): 11665-11674 (2022)
[j39]
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Liang Chen, Qi Li, Changqing Shen, Jun Zhu, Dong Wang, Min Xia:
Adversarial Domain-Invariant Generalization: A Generic Domain-Regressive Framework for Bearing Fault Diagnosis Under Unseen Conditions. IEEE Trans. Ind. Informatics 18(3): 1790-1800 (2022)
[j38]
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Yimin Jiang, Tangbin Xia, Dong Wang, Xiaolei Fang, Lifeng Xi:
Adversarial Regressive Domain Adaptation Approach for Infrared Thermography-Based Unsupervised Remaining Useful Life Prediction. IEEE Trans. Ind. Informatics 18(10): 7219-7229 (2022)
[j37]
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Bojian Chen, Changqing Shen, Dong Wang, Lin Kong, Liang Chen, Zhongkui Zhu:
A Lifelong Learning Method for Gearbox Diagnosis With Incremental Fault Types. IEEE Trans. Instrum. Meas. 71: 1-10 (2022)
[j36]
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Bingchang Hou, Yikai Chen, Hong Wang, Zhike Peng, Kwok-Leung Tsui, Dong Wang:
OSESgram: Data-Aided Method for Selection of Informative Frequency Bands for Bearing Fault Diagnosis. IEEE Trans. Instrum. Meas. 71: 1-10 (2022)
[j35]
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Jingde Li, Changqing Shen, Lin Kong, Dong Wang, Min Xia, Zhongkui Zhu:
A New Adversarial Domain Generalization Network Based on Class Boundary Feature Detection for Bearing Fault Diagnosis. IEEE Trans. Instrum. Meas. 71: 1-9 (2022)
[j34]
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Tongtong Yan, Yichu Fu, Ming Lu, Zhinong Li, Changqing Shen, Dong Wang:
Integration of a Novel Knowledge-Guided Loss Function With an Architecturally Explainable Network for Machine Degradation Modeling. IEEE Trans. Instrum. Meas. 71: 1-12 (2022)
[j33]
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Tangbin Xia, Guojin Si, Dong Wang, Ershun Pan, Lifeng Xi:
Progressive Opportunistic Maintenance Policies for Service-Outsourcing Network With Prognostic Updating and Dynamical Optimization. IEEE Trans. Reliab. 71(3): 1340-1354 (2022)
[j32]
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Tongtong Yan, Dong Wang, Bingchang Hou, Zhike Peng:
Generic Framework for Integration of First Prediction Time Detection With Machine Degradation Modelling from Frequency Domain. IEEE Trans. Reliab. 71(4): 1464-1476 (2022)
[i1]
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Qian Chen, Xingjian Dong, Guowei Tu, Dong Wang, Baoxuan Zhao, Zhike Peng:
TFN: An Interpretable Neural Network with Time-Frequency Transform Embedded for Intelligent Fault Diagnosis. CoRR abs/2209.01992 (2022)
2021
[j31]
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Tangbin Xia, Pengcheng Zhuo, Lei Xiao, Shichang Du, Dong Wang, Lifeng Xi:
Multi-stage fault diagnosis framework for rolling bearing based on OHF Elman AdaBoost-Bagging algorithm. Neurocomputing 433: 237-251 (2021)
[j30]
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Meimei Zheng, Hongqing Ye, Dong Wang, Ershun Pan:
Joint Optimization of Condition-Based Maintenance and Spare Parts Orders for Multi-Unit Systems with Dual Sourcing. Reliab. Eng. Syst. Saf. 210: 107512 (2021)
[j29]
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Liu He, Dong Wang, Cai Yi, Qiuyang Zhou, Jianhui Lin:
Extracting cyclo-stationarity of repetitive transients from envelope spectrum based on prior-unknown blind deconvolution technique. Signal Process. 183: 107997 (2021)
[j28]
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Dong Wang, Zhike Peng, Lifeng Xi:
Theoretical and Experimental Investigations on Spectral Lp/Lq Norm Ratio and Spectral Gini Index for Rotating Machine Health Monitoring. IEEE Trans Autom. Sci. Eng. 18(3): 1074-1086 (2021)
[j27]
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Bingchang Hou, Dong Wang, Yi Wang, Tongtong Yan, Zhike Peng, Kwok-Leung Tsui:
Adaptive Weighted Signal Preprocessing Technique for Machine Health Monitoring. IEEE Trans. Instrum. Meas. 70: 1-11 (2021)
[j26]
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Changqing Shen, Xu Wang, Dong Wang, Yongxiang Li, Jun Zhu, Mingming Gong:
Dynamic Joint Distribution Alignment Network for Bearing Fault Diagnosis Under Variable Working Conditions. IEEE Trans. Instrum. Meas. 70: 1-13 (2021)
[j25]
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Sha Wei, Dong Wang, Hong Wang, Zhike Peng:
Time-Varying Envelope Filtering for Exhibiting Space Bearing Cage Fault Features. IEEE Trans. Instrum. Meas. 70: 1-13 (2021)
[j24]
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Tangbin Xia, Yimin Jiang, Pengcheng Zhuo, Lifeng Xi, Dong Wang:
Dual-Ensemble Multi-Feedback Neural Network for Gearbox Fault Diagnosis. IEEE Trans. Instrum. Meas. 70: 1-10 (2021)
[j23]
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Tongtong Yan, Dong Wang, Jin-Zhen Kong, Tangbin Xia, Zhike Peng, Lifeng Xi:
Definition of Signal-to-Noise Ratio of Health Indicators and Its Analytic Optimization for Machine Performance Degradation Assessment. IEEE Trans. Instrum. Meas. 70: 1-16 (2021)
[j22]
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Jingjing Zhong, Dong Wang, Ju'e Guo, Diego Cabrera, Chuan Li:
Theoretical Investigations on Kurtosis and Entropy and Their Improvements for System Health Monitoring. IEEE Trans. Instrum. Meas. 70: 1-10 (2021)
2020
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Wei You, Changqing Shen, Dong Wang, Liang Chen, Xingxing Jiang, Zhongkui Zhu:
An Intelligent Deep Feature Learning Method With Improved Activation Functions for Machine Fault Diagnosis. IEEE Access 8: 1975-1985 (2020)
[j20]
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Fan Xu, Zhelin Huang, Fangfang Yang, Dong Wang, Kwok Leung Tsui:
Constructing a health indicator for roller bearings by using a stacked auto-encoder with an exponential function to eliminate concussion. Appl. Soft Comput. 89: 106119 (2020)
[j19]
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Xu Wang, Changqing Shen, Min Xia, Dong Wang, Jun Zhu, Zhongkui Zhu:
Multi-scale deep intra-class transfer learning for bearing fault diagnosis. Reliab. Eng. Syst. Saf. 202: 107050 (2020)
[j18]
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Yuyong Xiong, Zhike Peng, Changzhan Gu, Songxu Li, Dong Wang, Wenming Zhang:
Differential Enhancement Method for Robust and Accurate Heart Rate Monitoring via Microwave Vital Sign Sensing. IEEE Trans. Instrum. Meas. 69(9): 7108-7118 (2020)
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Jun Zhu, Nan Chen, Changqing Shen, Dong Wang:
Multi-source Unsupervised Domain Adaptation for Machinery Fault Diagnosis under Different Working Conditions. INDIN 2020: 755-762

2010 – 2019

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2019
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Kwok Leung Tsui, Yang Zhao, Dong Wang:
Big Data Opportunities: System Health Monitoring and Management. IEEE Access 7: 68853-68867 (2019)
[j16]
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Xiangbao Song, Fangfang Yang, Dong Wang, Kwok-Leung Tsui:
Combined CNN-LSTM Network for State-of-Charge Estimation of Lithium-Ion Batteries. IEEE Access 7: 88894-88902 (2019)
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Dong Wang, Changqing Shen:
Discovery of a Simplified Index Commonly Used in Various Algorithms for Quantification of Repetitive Transients. AIM 2019: 863-867
2018
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Dong Wang, Kwok-Leung Tsui, Qiang Miao:
Prognostics and Health Management: A Review of Vibration Based Bearing and Gear Health Indicators. IEEE Access 6: 665-676 (2018)
[j14]
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Chao Huang, Zhenhua Wang, Zihan Zhao, Long Wang, Chun Sing Lai, Dong Wang:
Robustness Evaluation of Extended and Unscented Kalman Filter for Battery State of Charge Estimation. IEEE Access 6: 27617-27628 (2018)
[j13]
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Shenghao Tang, Changqing Shen, Dong Wang, Shuang Li, Weiguo Huang, Zhongkui Zhu:
Adaptive deep feature learning network with Nesterov momentum and its application to rotating machinery fault diagnosis. Neurocomputing 305: 1-14 (2018)
[j12]
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Dong Wang, Cai Yi, Kwok Leung Tsui:
Making EEMD more effective in extracting bearing fault features for intelligent bearing fault diagnosis by using blind fault component separation. J. Intell. Fuzzy Syst. 34(6): 3429-3441 (2018)
[j11]
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Cai Yi, Dong Wang, Wei Fan, Kwok-Leung Tsui, Jianhui Lin:
EEMD-Based Steady-State Indexes and Their Applications to Condition Monitoring and Fault Diagnosis of Railway Axle Bearings. Sensors 18(3): 704 (2018)
2017
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Yumei Qi, Changqing Shen, Dong Wang, Juanjuan Shi, Xingxing Jiang, Zhongkui Zhu:
Stacked Sparse Autoencoder-Based Deep Network for Fault Diagnosis of Rotating Machinery. IEEE Access 5: 15066-15079 (2017)
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Fangfang Yang, Dong Wang, Yinjiao Xing, Kwok-Leung Tsui:
Prognostics of Li(NiMnCo)O₂-based lithium-ion batteries using a novel battery degradation model. Microelectron. Reliab. 70: 70-78 (2017)
[j8]
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Dong Wang, Fangfang Yang, Yang Zhao, Kwok-Leung Tsui:
Prognostics of Lithium-ion batteries based on state space modeling with heterogeneous noise variances. Microelectron. Reliab. 75: 1-8 (2017)
[j7]
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Dong Wang, Fangfang Yang, Yang Zhao, Kwok-Leung Tsui:
Battery remaining useful life prediction at different discharge rates. Microelectron. Reliab. 78: 212-219 (2017)
[j6]
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  - journals/sensors/TseW17
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Peter W. Tse, Dong Wang:
State Space Formulation of Nonlinear Vibration Responses Collected from a Dynamic Rotor-Bearing System: An Extension of Bearing Diagnostics to Bearing Prognostics. Sensors 17(2): 369 (2017)
[j5]
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Dong Wang, Kwok-Leung Tsui:
Statistical Modeling of Bearing Degradation Signals. IEEE Trans. Reliab. 66(4): 1331-1344 (2017)
2016
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Jingjing Zhong, Peter W. Tse, Dong Wang:
Novel Bayesian inference on optimal parameters of support vector machines and its application to industrial survey data classification. Neurocomputing 211: 159-171 (2016)
[j3]
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  - journals/tim/WangYTZB16
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Dong Wang, Fangfang Yang, Kwok-Leung Tsui, Qiang Zhou, Suk Joo Bae:
Remaining Useful Life Prediction of Lithium-Ion Batteries Based on Spherical Cubature Particle Filter. IEEE Trans. Instrum. Meas. 65(6): 1282-1291 (2016)
2013
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Dong Wang, Wei Guo, Xiaojuan Wang:
A joint sparse wavelet coefficient extraction and adaptive noise reduction method in recovery of weak bearing fault features from a multi-component signal mixture. Appl. Soft Comput. 13(10): 4097-4104 (2013)
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Changqing Shen, Fang Liu, Dong Wang, Ao Zhang, Fanrang Kong, Peter W. Tse:
A Doppler Transient Model Based on the Laplace Wavelet and Spectrum Correlation Assessment for Locomotive Bearing Fault Diagnosis. Sensors 13(11): 15726-15746 (2013)

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