webinar

Sensors Webinar | Machine Health Monitoring and Fault Diagnosis Techniques

Name: Sensors Webinar | Machine Health Monitoring and Fault Diagnosis Techniques
Start: 2022-08-10T15:00:00
End: 2022-08-10T16:30:00

10 August 2022

15:00 (CEST)

Online

Meet Our Speakers

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Dr. Dong Wang

Department of Industrial Engineering and Management, School of Mechanical Engineering, Shanghai Jiao Tong University, China;
Dong Wang received the Ph.D. degree from the City University of Hong Kong, Hong Kong, in 2015. He was a Senior Research Assistant, a Postdoctoral Fellow, and a Research Fellow with the City University of Hong Kong. He is currently an Associate Professor with the Department of Industrial Engineering and Management, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China, where he is also with the State Key Laboratory of Mechanical System and Vibration. His research interests include intelligent operation and maintenance, sparsity and complexity measures, degradation modeling, statistical probability models, signal processing, machine learning and statistical learning. Dr. Wang is an Editorial Board Member for Mechanical Systems and Signal Processing, and an Associate Editor for the IEEE Transactions on Instrumentation and Measurement, IEEE Sensors Journal, Measurement, and Journal of Dynamics, Monitoring and Diagnostics.

Sponsors and Partners

Organizer

Webinar Content

On Wednesday, 10 August 2022, MDPI and the Journal Sensors organized the 5th webinar on Sensors, entitled "Machine Health Monitoring and Fault Diagnosis Techniques ". The introduction was held by the Chair of the webinar, Dr. Dong Wang, an Associate Professor of the Shanghai Jiao Tong University, China, in the Department of Industrial Engineering and Managment and School of Engineering. His research interests focus on intelligent maintenance systems, prognostics & health management, and advanced manufacturing. In this webinar, we were pleased to invite two young and prolific researchers in the domain of machine health monitoring, fault diagnosis and prognostics. The first speaker, Dr. Tangbin Xia at Shanghai Jiao Tong University, presented an infrared-images based multi-head neural network under variability of individual machine degradations for machine-level prognostics and then introduced a comprehensive maintenance strategy to solve a maintenance grouping and technician routing problem. The second speaker, Dr. Xiang Li at Xi’an Jiao tong University, presented recent advances in generalized transfer learning methods for machine fault diagnosis, including closed set, partial, open set and universal domain.

The presentations were followed by a Q&A and a discussion, moderated by the Chair. The webinar was offered via Zoom and required registration to attend. The full recording can be found here on Sciforum website. In order to stay updated on the next webinars on Sensors be sure to sign up for our newsletter by clicking on “Subscribe” at the top of the page.

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Relevant SI

Machine Health Monitoring and Fault Diagnosis Techniques
Guest Editors: Dr. Shilong Sun, Prof. Dr. Changqing Shen & Dr. Dong Wang
Deadline for manuscript submissions: 20 November 2022