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Lei Mao

Dr. Lei Mao

School of Engineering Science, University of Science and Technology of China, He...

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Dr. Lei Mao is a Special Researcher at the Department of Precision Machinery and Precision Instrumentation, University of Science and Technology of China. He is also a Member of the International Association of Engineers and the Prognostics and Health Management Society and a Director of the Fault Diagnosis Committee of the China Vibration Engineering Association. He received his BS in Traffic Engineering from Hefei University of Technology (2004), his MSc in Mechatronics Engineering from the University of Science and Technology of China (2007), and his PhD in Infrastructure and Environment from the University of Edinburgh (2012). His teaching course is the Analysis and Design of Electromechanical Control Systems. His research interests include vibration-based fault diagnosis technology, artificial intelligence-based fault diagnosis and life prediction, fuel cell stack testing and operational reliability analysis, and modeling and analysis of structures under extreme load conditions.

Research Keywords & Expertise

Data Mining
Advanced sensing techn...
Control and maintenanc...

Short Biography

Dr. Lei Mao is a Special Researcher at the Department of Precision Machinery and Precision Instrumentation, University of Science and Technology of China. He is also a Member of the International Association of Engineers and the Prognostics and Health Management Society and a Director of the Fault Diagnosis Committee of the China Vibration Engineering Association. He received his BS in Traffic Engineering from Hefei University of Technology (2004), his MSc in Mechatronics Engineering from the University of Science and Technology of China (2007), and his PhD in Infrastructure and Environment from the University of Edinburgh (2012). His teaching course is the Analysis and Design of Electromechanical Control Systems. His research interests include vibration-based fault diagnosis technology, artificial intelligence-based fault diagnosis and life prediction, fuel cell stack testing and operational reliability analysis, and modeling and analysis of structures under extreme load conditions.