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.
Tabella dei contenuti
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.Acquista questo ebook e ricevine 1 in più GRATIS!
Lingua Inglese ● Formato PDF ● Pagine 160 ● ISBN 9783030462635 ● Dimensione 5.8 MB ● Casa editrice Springer International Publishing ● Città Cham ● Paese CH ● Pubblicato 2020 ● Scaricabile 24 mesi ● Moneta EUR ● ID 7438588 ● Protezione dalla copia DRM sociale