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Book Cover
E-book
Author Chen, Hongtian, active 2017-

Title Data-driven detection and diagnosis of faults in traction systems of high-speed trains / Hongtian Chen, Bin Jiang, Ningyun Lu, Wen Chen
Published Cham : Springer, 2020

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Description 1 online resource (xiii, 160 pages) : illustrations
Series Lecture Notes in Intelligent Transportation and Infrastructure
Lecture notes in intelligent transportation and infrastructure.
Contents Intro -- Acknowledgements -- Contents -- Acronyms -- Part I Background and Basic Methods -- 1 Introduction -- 1.1 Background -- 1.2 Review on FDD for Traction Systems of High-Speed Trains -- 1.2.1 Signal Analysis-Based Methods -- 1.2.2 Model-Based Methods -- 1.2.3 Data-Driven Methods -- 1.3 Challenges and Perspectives -- 1.3.1 Challenges -- 1.3.2 Perspectives -- 1.4 Outline of the Contents -- References -- 2 Traction Systems and Experimental Platforms -- 2.1 Description of Traction Systems -- 2.1.1 System Structure -- 2.1.2 Typical Faults -- 2.2 Experimental Platforms -- 2.2.1 Platform 1
2.2.2 Platform 2 -- 2.2.3 Platform 3 -- 2.3 Notes and References -- References -- 3 Basics of Data-Driven FDD Methods -- 3.1 Problem Formulation -- 3.2 Data-Driven FDD for Static Systems -- 3.2.1 Principal Component Analysis -- 3.2.2 Independent Component Analysis -- 3.2.3 Canonical Correlation Analysis -- 3.3 Data-Driven FDD for Dynamic Systems -- 3.3.1 Mathematical Notations -- 3.3.2 Identification and Residual Generator -- 3.4 Test Statistic -- 3.4.1 GLR and Hotelling's T2 Distribution -- 3.4.2 SPE -- 3.5 Notes -- References -- Part II Data-Driven Designs Focusing on Multivariate Analysis
4 Multi-mode PCA-based FDD Methods -- 4.1 Background and Motivations -- 4.2 Multi-mode-based Methodologies -- 4.2.1 Six Modes -- 4.2.2 Multi-mode PCA-based FD -- 4.2.3 Multi-mode KPCA-based FD -- 4.3 Algorithm Implementation -- 4.4 Experimental Verification -- 4.4.1 Fault Injection -- 4.4.2 Experimental Results -- 4.5 Notes -- References -- 5 Probability-Relevant PCA-based FDD Methods -- 5.1 Background and Motivations -- 5.1.1 Crowding Problem -- 5.1.2 Objective and Design Issues -- 5.2 Probability-Relevant PCA-based FDD Methodology -- 5.2.1 The Probability-Relevant PCA
5.2.2 Detection of Incipient Faults -- 5.2.3 Diagnosis of Incipient Faults -- 5.3 Experimental Verification -- 5.3.1 Fault Injection -- 5.3.2 Experimental Results -- 5.4 Discussions and Notes -- 5.4.1 Discussions -- 5.4.2 Notes -- References -- 6 Deep PCA-Based FDD Methods -- 6.1 Background and Motivations -- 6.2 Deep PCA-Based FDD Methodology -- 6.2.1 Deep PCA -- 6.2.2 Detection of Incipient Faults -- 6.2.3 Diagnosis of Incipient Faults -- 6.3 Algorithm Implementation -- 6.4 Experimental Verification -- 6.4.1 Fault Injection -- 6.4.2 Experimental Results -- 6.5 Discussions and Notes
6.5.1 Discussions -- 6.5.2 Notes -- References -- Part III Data-Driven Designs Focusing on Test Statistics -- 7 PCA and Kullback-Leibler Divergence-Based FDD Methods -- 7.1 Background and Motivations -- 7.2 PCA and KLD-based FDD Methodology -- 7.2.1 Definition of KLD -- 7.2.2 Covariance Matrix Analysis -- 7.2.3 Construction of an Evaluation Function Using KLD -- 7.2.4 Hypothesis Test for FD -- 7.3 Algorithm Implementation -- 7.4 Experimental Verification -- 7.4.1 Fault Injection -- 7.4.2 Experimental Results -- 7.5 Discussions and Notes -- 7.5.1 Discussions -- 7.5.2 Notes -- References
Summary 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
Notes 8 PCA and Hellinger Distance-Based FDD Methods
Bibliography Includes bibliographical references
Notes Print version record
Subject High speed trains.
Fault location (Engineering)
high-speed trains.
Automatic control engineering.
Artificial intelligence.
Highway & traffic engineering.
Technology & Engineering -- Automation.
Technology & Engineering -- Engineering (General)
Technology & Engineering -- Civil -- General.
Fault location (Engineering)
High speed trains
Genre/Form Electronic books
Form Electronic book
Author Jiang, Bin, 1966-
Lu, Ningyun
Chen, Wen, 1967-
ISBN 9783030462635
3030462633