Panel Session 1: PHM for Mechanical Systems


Introduction


Modern mechanical systems are complex systems that are composed of structural elements, mechanisms, control components, and interfaces for convenient use. The increasing complexity of modern mechanical systems makes the Prognostic and Health Management (PHM) challenging. Many efforts have already been devoted to PHM for mechanical systems. Monitoring techniques, such as vibration monitoring, thermography, and oil analysis, are widely used to monitor the condition of mechanical systems. Based on monitoring signals, reliability models of mechanical systems can be developed. Different maintenance policies, such as reliability centered maintenance and condition-based maintenance, can be used to make maintenance plans for mechanical systems. This session includes some recent researches focusing on the subjects of PHM for mechanical systems, such as signal processing, system reliability analysis, and maintenance scheduling for mechanical systems.

Chair


Siqi Qiu avatar
Siqi Qiu China

Assistant Professor

Shanghai Jiao Tong University, China


Siqi Qiu is currently an assistant professor in the School of Mechanical Engineering at Shanghai Jiao Tong University. She received her BSc degree from Huazhong University of Science and Technology in 2009, her MSc degree from Paris-Sud University in 2011, and her PhD degree in System Engineering from University of Technology of Compiègne in 2014.

Her main research interests include System reliability, Preventive maintenance, Uncertainty theory, Prognostic and Health Management, and Smart manufacturing. She has more than 30 publications in scientific journals and international conferences, such as Reliability Engineering and System Safety, Information Sciences, and Computers & Industrial Engineering. She is granted by National Natural Science Foundation of China and Shanghai Pujiang Talent Program in 2016. She also serves as a reviewer for many international journals.

Panelists


Yixiang Huang China

Assistant Professor

Shanghai Jiao Tong University, China


Yixiang Huang is an Assistant Professor of Mechanical Engineering at Shanghai Jiao Tong University, China, since 2013. Previously, he worked from 2010 to 2012 as a researcher and postdoctoral fellow at the NSF Industry/University Cooperative Research Center for Intelligent Maintenance Systems at University of Cincinnati, USA. His current research interests include intelligent maintenance, prognostics and health management, dimensionality reduction techniques, big data analysis and sparse coding for various applications. He has applied advanced data driven techniques of fault diagnosis, anomaly detection, prognostics and health management not only to the industrial assets such as construction and mining equipment, machine centers, assembling production line, mixshield machine, wind turbines, batteries, robots, but also to the non-industrial applications such as electroencephalography (EEG) and electrocardiogram (ECG) signals for human health assessment. He has authored over 40 publications in referred journals and conference proceedings. He has served as the paper review chairs, session chairs in several international conferences such as COMADEM, International Conference on Sensing, Diagnostics, Prognostics, and Control (SDPC), etc.

Zhenguo Zhang China

Assistant Professor

Shanghai Jiao Tong University, China


Zhenguo Zhang is an Assistant Professor of Institute of Vibration, Shock and Noise, Shanghai Jiao Tong University (SJTU). He received his Ph.D degree from SJTU in 2015. He has been a postdoctoral fellow from 2014 to 2017 in SJTU and Georgia Institute of Technology. His research interests include dynamic characteristics analysis and source identification technique of rotating blades, friction dynamics in mechanical systems, intelligent vibration and noise control. He has been a PI of a number of research projects including NSFC and China Postdoctoral Science Foundation, and has published more than ten papers in refereed journals.

Lei Xiao China

Assistant Professor

Donghua University, China


Lei Xiao is an assistant professor at School of Mechanical Engineering, Donghua University, China, since 2018. Her research interests include the key techniques in condition-based maintenance (CBM), such as fault detection, remaining useful life prediction and the joint optimization of maintenance and production scheduling/spare part purchasing. She got her PhD degree from Chongqing University in 2016 and then worked as a postdoctoral researcher at Shanghai Jiao Tong University. She has published many papers on Reliability Engineering and System Safety, Journal of Sound and Vibration, Journal of Intelligent Manufacturing, among others. She also got several funding from national natural science foundation of China, China Postdoctoral Science Foundation, etc.

Ling Li China

Associate Professor

Shanghai Lixin University of Accounting and Finance, China


Ling Li is currently an associate professor in the School of Statistics and Mathematics, Shanghai Lixin University of Accounting and Finance, Shanghai, China. She received the BS and MS degree in applied mathematics from Hubei University, Wuhan, China, in 2004 and 2007, respectively, and the PhD degree in control science and engineering from Tongji University, Shanghai, China, in 2018. She has been working on service computing and system engineering to MRO service chain for about 10 years. She has published more than 40 papers in scientific journals and international conferences in the areas of service computing, maintenance strategy optimization, and spare parts management.

Long Wen China

Postdoctor

Huazhong University of Science and Technology, China


Long Wen is a postdoctoral researcher at Department of Industrial & Manufacturing Systems Engineering, School of Mechanical Science & Engineering, Huazhong University of Science and Technology (HUST). His research interests include deep learning, machine learning, intelligent algorithm, and their applications in intelligent manufacturing system. He got his B.E degree and PHD degree in HUST in 2010 and 2014. He has published many papers, including nine SCI index papers and three IEEE transactions papers. He also got several funding from national natural science foundation of China, China Postdoctoral Science Foundation, etc.