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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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2523-3440 ng intelligent transportation, electrical engineering, mechanical engineering, chemical engineering, the biological sciences and engineering, economics, ecology, and the mathematical sciences. .978-3-030-46265-9978-3-030-46263-5Series ISSN 2523-3440 Series E-ISSN 2523-3459
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Traction Systems and Experimental Platformsnism. Then, experimental platforms together with their parameters will be introduced to present readers with useful background. Based on these platforms which will be used in the forthcoming Chaps. 4–8, a variety of experiments will be carried out to demonstrate the effectiveness of the designed methods in this book.
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Book 2020 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. .
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Traction Systems and Experimental Platformsction systems, will be introduced in details. First, we will briefly describe the traction system in terms of its system structure and operating mechanism. Then, experimental platforms together with their parameters will be introduced to present readers with useful background. Based on these platfor
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Conclusions and Further Workand practitioners in this field with informative guidance. In Chap. ., brief introductions on the current FDD techniques for high-speed trains are firstly presented. Motivated by the pros and cons of these developed FDD methods, challenges and promising issues about this thesis are then speculated.
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