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Data-driven Detection and Diagnosis of Faults in Traction Systems of High-speed Trains - Hongtian Chen, Bin Jiang, Ningyun Lu, Wen Chen

Data-driven Detection and Diagnosis of Faults in Traction Systems of High-speed Trains

Buch | Hardcover
XIII, 160 Seiten
2020 | 1st ed. 2020
Springer International Publishing (Verlag)
978-3-030-46262-8 (ISBN)
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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. 

Introduction.- Traction Systems and Experimental Platforms.- Basics of Data-driven FDD Methods.- Multi-mode PCA-based FDD Methods.- Probability-relevant PCA-based FDD Methods.- Deep PCA-based FDD Methods.- PCA and Kull back-Leibler Divergence-based FDD Methods.- PCA and Hellinger Distance-based FDD Methods.- Conclusions and Further Work. 

Erscheinungsdatum
Reihe/Serie Lecture Notes in Intelligent Transportation and Infrastructure
Zusatzinfo XIII, 160 p. 53 illus., 47 illus. in color.
Verlagsort Cham
Sprache englisch
Maße 155 x 235 mm
Gewicht 436 g
Themenwelt Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Technik Bauwesen
Technik Elektrotechnik / Energietechnik
Schlagworte Data-driven Methods • Fault detection and diagnosis • fault injection • high-speed trains • Principal Component Analysis • test statistics • Traction Systems
ISBN-10 3-030-46262-5 / 3030462625
ISBN-13 978-3-030-46262-8 / 9783030462628
Zustand Neuware
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