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

1. Auflage 2020
ISBN: 978-3-030-46265-9
Verlag: Springer International Publishing

Buch, Englisch, 160 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 277 g

Reihe: Lecture Notes in Intelligent Transportation and Infrastructure

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. 

Zielgruppe

Research

Autoren/Hrsg.

Chen, Hongtian

Chen, Wen

Jiang, Bin

Lu, Ningyun

Fachgebiete

• Technische Wissenschaften Bauingenieurwesen Verkehrsingenieurwesen, Verkehrsplanung
• Technische Wissenschaften Verkehrstechnik | Transportgewerbe Verkehrstechnologie: Allgemeines
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik Regelungstechnik

Inhaltsverzeichnis

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.