Titlebook: Data-driven Detection and Diagnosis of Faults in Traction Systems of High-speed Trains; Hongtian Chen,Bin Jiang,Wen Chen Book 2020 The Edi

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Comparison of LOTOS with CCS and CSPs and may lead to unacceptable FAR and higher missing alarm rate (MAR). Motivated by this observation, the multi-mode data-driven modeling and FDD methods are desirable and will be investigated in this chapter.

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Introductionheoretical and practical aspects. Additional contributions of this thesis also cover the comprehensive review on FDD techniques for high-speed trains, the pros and cons of all FDD methods provided for researchers and practitioners with informative guidance, and some challenges and promising issues speculated for future investigation.

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Basics of Data-Driven FDD Methodsics including MSA, SIM, together with the used test statistic, which serves as the fundamentals of this work; based on these basics, challenging topics of FDD applications to high-speed trains is then summarized.

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