Data-driven Detection and Diagnosis of Faults in Traction Systems of High-speed Trains
Buch in deiner Nähe kaufen
Beschreibung
This book addresses the needs of researchers and practitioners in the field of high-speed trains, especially those whose work involves safety and reliability issues in traction systems. It will appeal to researchers and graduate students at institutions of higher learning, research labs, and in the industrial R&D sector, catering to a readership from a broad range of disciplines including intelligent transportation, electrical engineering, mechanical engineering, chemical engineering, the biological sciences and engineering, economics, ecology, and the mathematical sciences.
This book addresses the needs of researchers and practitioners in the field of high-speed trains, especially those whose work involves safety and reliability issues in traction systems. It will appeal to researchers and graduate students at institutions of higher learning, research labs, and in the industrial R&D sector, catering to a readership from a broad range of disciplines including intelligent transportation, electrical engineering, mechanical engineering, chemical engineering, the biological sciences and engineering, economics, ecology, and the mathematical sciences.
Offers essential guidance on fault detection and diagnosis (FDD) for traction systems in high-speed trains Focuses on FDD strategies with novel data modeling methods and novel test statistics Presents data-driven fault detection and diagnosis (FDD) techniques and their practical applications to high-speed trains in China Expands the application scope of data-driven FDD techniques, and provides researchers and practitioners with informative guidance for FDD of traction systems in high-speed trains
Autor*in
Hongtian Chen
Themen in »Data-driven Detection and Diagnosis of Faults in Traction Systems of High-speed Trains«
Data-driven Methods Fault Detection and Diagnosis Traction Systems High-speed Trains Principal Component Analysis Fault Injection Test Statistics