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chen hongtian; jiang bin; lu ningyun; chen wen - 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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Dettagli

Genere:Libro
Lingua: Inglese
Editore:

Springer

Pubblicazione: 04/2021
Edizione: 1st ed. 2020





Trama

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. 





Sommario

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. 










Altre Informazioni

ISBN:

9783030462659

Condizione: Nuovo
Collana: Lecture Notes in Intelligent Transportation and Infrastructure
Dimensioni: 235 x 155 mm Ø 454 gr
Formato: Brossura
Illustration Notes:XIII, 160 p. 53 illus., 47 illus. in color.
Pagine Arabe: 160
Pagine Romane: xiii


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