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.
Télécharger le livre :  Mechanical Design and Simulation: Exploring Innovations for the Future

This book is an open access publication.This book presents innovative strategies and cutting-edge research at the intersection of mechanical engineering and simulation technologies. Aimed at addressing the current challenges and limitations in mechanical design, this...
Editeur : Springer
Parution : 2025-01-23

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Télécharger le livre :  Big Data-Driven Intelligent Fault Diagnosis and Prognosis for Mechanical Systems

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)...
Editeur : Springer
Parution : 2022-10-19

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105,49

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Télécharger le livre :  Intelligent Fault Diagnosis and Remaining Useful Life Prediction of Rotating Machinery

Intelligent Fault Diagnosis and Remaining Useful Life Prediction of Rotating Machinery provides a comprehensive introduction of intelligent fault diagnosis and RUL prediction based on the current achievements of the author's research group. The main contents include...
Editeur : Butterworth-Heinemann
Parution : 2016-11-02

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136,09

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