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

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

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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...

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. 

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

26.04.2021

Abbildungen

XIII, 160 p. 53 illus., 47 illus. in color.

Verlag Springer

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

26.04.2021

Abbildungen

XIII, 160 p. 53 illus., 47 illus. in color.

Verlag Springer
Seitenzahl

160

Maße (L/B/H)

23,5/15,5/1 cm

Gewicht

277 g

Auflage

1st ed. 2020

Sprache

Englisch

ISBN

978-3-030-46265-9

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: ProductSafety@springernature.com

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  • Produktbild: Data-driven Detection and Diagnosis of Faults in Traction Systems of High-speed Trains
  • 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.