Data-driven Detection and Diagnosis of Faults in Traction Systems of High-speed Trains
Springer International Publishing (Verlag)
978-3-030-46262-8 (ISBN)
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 | 30.04.2020 |
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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 |
Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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