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      Fault Diagnosis for Compensating Capacitors of Jointless Track Circuit Based on Dynamic Time Warping

      Mathematical Problems in Engineering
      Hindawi Limited

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          Abstract

          Aiming at the problem of online fault diagnosis for compensating capacitors of jointless track circuit, a dynamic time warping (DTW) based diagnosis method is proposed in this paper. Different from the existing related works, this method only uses the ground indoor monitoring signals of track circuit to locate the faulty compensating capacitor, not depending on the shunt current of inspection train, which is an indispensable condition for existing methods. So, it can be used for online diagnosis of compensating capacitor, which has not yet been realized by existing methods. To overcome the key problem that track circuit cannot obtain the precise position of the train, the DTW method is used for the first time in this situation to recover the function relationship between receiver’s peak voltage and shunt position. The necessity, thinking, and procedure of the method are described in detail. Besides the classical DTW based method, two improved methods for improving classification quality and reducing computation complexity are proposed. Finally, the diagnosis experiments based on the simulation model of track circuit show the effectiveness of the proposed methods.

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          Climate change and the railway industry: A review

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            Fault detection and diagnosis for railway track circuits using neuro-fuzzy systems

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              Fault diagnosis in railway track circuits using Dempster–Shafer classifier fusion

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                Author and article information

                Journal
                Mathematical Problems in Engineering
                Mathematical Problems in Engineering
                Hindawi Limited
                1024-123X
                1563-5147
                2014
                2014
                : 2014
                :
                : 1-13
                Article
                10.1155/2014/324743
                95fc11db-0aa4-4d31-9494-598196fb2ad7
                © 2014

                http://creativecommons.org/licenses/by/3.0/

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