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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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發(fā)表于 2025-3-21 18:26:02 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Data-driven Detection and Diagnosis of Faults in Traction Systems of High-speed Trains
編輯Hongtian Chen,Bin Jiang,Wen Chen
視頻videohttp://file.papertrans.cn/264/263331/263331.mp4
概述Offers essential guidance on fault detection and diagnosis (FDD) for traction systems in high-speed trains.Focuses on FDD strategies with novel data modeling methods and novel test statistics.Presents
叢書名稱Lecture Notes in Intelligent Transportation and Infrastructure
圖書封面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
描述.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.?.
出版日期Book 2020
關(guān)鍵詞Data-driven Methods; Fault Detection and Diagnosis; Traction Systems; High-speed Trains; Principal Compo
版次1
doihttps://doi.org/10.1007/978-3-030-46263-5
isbn_softcover978-3-030-46265-9
isbn_ebook978-3-030-46263-5Series ISSN 2523-3440 Series E-ISSN 2523-3459
issn_series 2523-3440
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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https://doi.org/10.1007/978-981-10-3620-0ction 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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Comparison of LOTOS with CCS and CSPre different modes are obviously revealed. For example, based on the gate pulses, which are triggered according to strict time series, the traction system of CRH5 can be regarded as a switched system. Since signals in different modes have different statistical properties, the collected data set can
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Background on Concurrency Theoryipient faults, this chapter presents the reason why incipient faults cannot be detected by the existing FDD methods. Under PCA framework, we propose a new data-driven FDD method, which is named probability-relevant PCA (PRPCA), for traction systems in high-speed trains. The salient strengths of the
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Data-driven Detection and Diagnosis of Faults in Traction Systems of High-speed Trains978-3-030-46263-5Series ISSN 2523-3440 Series E-ISSN 2523-3459
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