Big Data-Driven Intelligent Fault Diagnosis and Prognosis for Mechanical Systems by Yaguo Lei

Big Data-Driven Intelligent Fault Diagnosis and Prognosis for Mechanical Systems by Yaguo Lei

This book presents systematic overviews and bright insights into big data-driven intelligent fault diagnosis and prognosis for mechanical systems. The recent research results on deep transfer learning-based fault diagnosis, data-model fusion remaining useful life (RUL) prediction, etc., are focused on in the book. The contents are valuable and interesting to attract academic researchers, practitioners, and students in the field of prognostics and health management (PHM). Essential guidelines are provided for readers to understand, explore, and implement the presented methodologies, which promote further development of PHM in the big data era.

Features:

• Addresses the critical challenges in the field of PHM at present
• Presents both fundamental and cutting-edge research theories on intelligent fault diagnosis and prognosis
• Provides abundant experimental validations and engineering cases of the presented methodologies

Lei, Yaguo: - Yaguo Lei is a Full Professor in the School of Mechanical Engineering at Xi'an Jiaotong University (XJTU), China, which he joined as an associate Professor in 2010. Prior to that, he worked at the University of Alberta, Canada, as a postdoctoral research fellow. He also worked at the University of Duisburg-Essen, Germany, as an Alexander von Humboldt fellow in 2012. He was promoted to Full Professor in 2013. He received the BS degree and the PhD degree both in Mechanical Engineering from XJTU, in 2002 and 2007, respectively. He is an associate editor or a member of the editorial boards of more than ten journals, including Mechanical Systems and Signal Processing, Measurement Science & Technology, and Neural Computing & Applications. He is also a Fellow of the Institution of Engineering and Technology (IET), a senior member of IEEE and a member of ASME, respectively. He has pioneered many signal processing techniques, intelligent fault diagnosis methods, and remaining useful life prediction models for machines. He has published one monograph and more than 100 peer-reviewed papers on signal processing, fault diagnosis and remaining useful life prediction.

SKU	Unavailable
ISBN 13	9789811691300
ISBN 10	9811691304
Title	Big Data-Driven Intelligent Fault Diagnosis and Prognosis for Mechanical Systems
Author	Yaguo Lei
Condition	Unavailable
Binding Type	Hardback
Publisher	Springer Verlag, Singapore
Year published	2022-10-20
Number of pages	281
Cover note	Book picture is for illustrative purposes only, actual binding, cover or edition may vary.