Dong WANG

Dong WANG

Shanghai Jiao Tong University

H-index: 49

Asia-China

About Dong WANG

Dong WANG, With an exceptional h-index of 49 and a recent h-index of 44 (since 2020), a distinguished researcher at Shanghai Jiao Tong University, specializes in the field of Prognostics and Health Management, Fault diagnosis, Condition monitoring.

His recent articles reflect a diverse array of research interests and contributions to the field:

Cumulative spectrum distribution entropy for rotating machinery fault diagnosis

Distribution-agnostic Probabilistic Few-shot Learning for Multimodal Recognition and Prediction

Bi-Generator Cooperative Domain Adversarial Neural Network for Bearing Fault Diagnosis

Optimal Weight Impulse Extraction: New Impulse Extraction Methodology for Incipient Gearbox Condition Monitoring

Dynamic Time Scales Ensemble Framework for Similarity-based Remaining Useful Life Prediction Under Multiple Failure Modes

Interpretable temporal degradation state chain based fusion graph for intelligent bearing fault detection

A Novel Cross-Domain Data Augmentation and Bearing Fault Diagnosis Method Based on an Enhanced Generative Model

Integrated Planning of Multiple Spare Parts Inventory, Warranty and Service Engineers for a Service-Oriented Manufacturer

Dong WANG Information

University

Position

Associate Professor

Citations(all)

8785

Citations(since 2020)

7061

Cited By

3837

hIndex(all)

49

hIndex(since 2020)

44

i10Index(all)

125

i10Index(since 2020)

118

Email

University Profile Page

Shanghai Jiao Tong University

Google Scholar

View Google Scholar Profile

Dong WANG Skills & Research Interests

Prognostics and Health Management

Fault diagnosis

Condition monitoring

Top articles of Dong WANG

Title

Journal

Author(s)

Publication Date

Cumulative spectrum distribution entropy for rotating machinery fault diagnosis

Mechanical Systems and Signal Processing

Shun Wang

Yongbo Li

Khandaker Noman

Dong Wang

Ke Feng

...

2024

Distribution-agnostic Probabilistic Few-shot Learning for Multimodal Recognition and Prediction

IEEE Transactions on Automation Science and Engineering

Di Wang

Xiaochen Xian

Haidong Li

Dong Wang

2024

Bi-Generator Cooperative Domain Adversarial Neural Network for Bearing Fault Diagnosis

IEEE Sensors Journal

Jingde Li

Changqing Shen

Juanjuan Shi

Chuan Li

Dong Wang

...

2024/2/7

Optimal Weight Impulse Extraction: New Impulse Extraction Methodology for Incipient Gearbox Condition Monitoring

Mechanical Systems and Signal Processing

Xiaofei Liu

Naipeng Li

Yaguo Lei

Dong Wang

Qubing Ren

...

2024/7/1

Dynamic Time Scales Ensemble Framework for Similarity-based Remaining Useful Life Prediction Under Multiple Failure Modes

Engineering Applications of Artificial Intelligence

Yuhui Xu

Tangbin Xia

Dong Wang

Zhen Chen

Ershun Pan

...

2024

Interpretable temporal degradation state chain based fusion graph for intelligent bearing fault detection

Advanced Engineering Informatics

Tangbin Xia

Xueqi Xing

Tongtong Yan

Dong Wang

Ershun Pan

...

2024/1/1

A Novel Cross-Domain Data Augmentation and Bearing Fault Diagnosis Method Based on an Enhanced Generative Model

IEEE Transactions on Instrumentation and Measurement

Shilong Sun

Hao Ding

Haodong Huang

Zida Zhao

Dong Wang

...

2024/4/17

Integrated Planning of Multiple Spare Parts Inventory, Warranty and Service Engineers for a Service-Oriented Manufacturer

IEEE Transactions on Automation Science and Engineering

Qingwei Wang

Liu Chang

Meimei Zheng

Dong Wang

Ershun Pan

2024

Intelligent Maintenance Framework for Reconfigurable Manufacturing with Deep Learning-based Prognostics

IEEE Internet of Things Journal

Tangbin Xia

Yimin Jiang

Yutong Ding

Guojin Si

Dong Wang

...

2024/1/23

Battery Prognostics using Statistical Features from Partial Voltage Information

Mechanical Systems and Signal Processing

Fangfang Yang

Zhenfeng Lu

Xiaojun Tan

Kwok-Leung Tsui

Dong Wang

2024/3/15

A data-driven hybrid sensor fault detection/diagnosis method with flight test data

Measurement Science and Technology

Jinsheng Song

Ziqiao Chen

Dong Wang

Xin Wen

2024

Box-Cox transformation based state-space modeling as a unified prognostic framework for degradation linearization and RUL prediction enhancement

Reliability Engineering & System Safety

Jie Liu

Bingchang Hou

Ming Lu

Dong Wang

2024/4/1

mmAcoustic: Full-field Sound Source Localization, Identification and Area-selectable Sound Recovery via Millimeter-wave Vibration Monitoring

IEEE Transactions on Instrumentation and Measurement

Yuyong Xiong

Xiangyi Tang

Songxu Li

Haibin Meng

Dong Wang

...

2024

Deep Adaptive Sparse Residual Networks: A Lifelong Learning Framework for Rotating Machinery Fault Diagnosis with Domain Increments

Knowledge-Based Systems

Yan Zhang

Changqing Shen

Juanjuan Shi

Chuan Li

Xinhai Lin

...

2024/6/7

Contrastive learning and dynamics embedding neural network for label-free interpretable machine fault diagnosis

ISA transactions

Shilong Sun

Tengyi Peng

Yu Zhou

Xiao Zhang

Dong Wang

2024/1/1

A new feature boosting based continual learning method for bearing fault diagnosis with incremental fault types

Advanced Engineering Informatics

Zhenzhong He

Changqing Shen

Bojian Chen

Juanjuan Shi

Weiguo Huang

...

2024/8/1

Impulsive Mode Decomposition

Mechanical Systems and Signal Processing

Bingchang Hou

Min Xie

Hong Yan

Dong Wang

2024/4/1

TFN: An interpretable neural network with time-frequency transform embedded for intelligent fault diagnosis

Mechanical Systems and Signal Processing

Qian Chen

Xingjian Dong

Guowei Tu

Dong Wang

Changming Cheng

...

2024/1/15

Optimal Squared Wald Statistics based Methodology for On-line Machine Condition Monitoring and Degradation Assessment

IEEE Transactions on Instrumentation and Measurement

Yu Wang

Dong Wang

Tongtong Yan

2023

New Short-long-term Degradation Model for Precise Battery Health Prognostics

IEEE Transactions on Industrial Electronics

Jin-Zhen Kong

Di Cui

Bingchang Hou

Xingchen Liu

Dong Wang

2022/10/12

See List of Professors in Dong WANG University(Shanghai Jiao Tong University)

Co-Authors

H-index: 104
Michael G. Pecht

Michael G. Pecht

University of Maryland

H-index: 36
Changqing Shen / 沈长青

Changqing Shen / 沈长青

Soochow University

H-index: 31
Qiang Miao

Qiang Miao

Sichuan University

H-index: 30
Tangbin Xia

Tangbin Xia

Shanghai Jiao Tong University

H-index: 28
Suk Joo Bae

Suk Joo Bae

Hanyang University

academic-engine