基于FastDTW的道岔故障智能诊断方法

doi:10.16451/j.cnki.issn1003-6059.202011006

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Abstract The turnout handles the direction of the train.It is a key equipment for the safety of railway transportation system.An intelligent fault diagnosis method based on fast dynamic time warping(FastDTW) for railway turnout is proposed in this paper.It is testified by the real action current data obtained from switch machine model No.ZD7.Firstly,the original current curve is segmented according to wave form features.Then,the warp path distance between the standard sample and the tested current curve is obtained by FastDTW algorithm.Finally,a dynamic optimized threshold is exploited to confirm whether there is a fault in the turnout.The experimental results show the proposed method works well with both single and double action type turnout machines with only 200 turnout action current samples.The proposed method is suitable for the train control system of new generation as well due to its high diagnosis accuracy and low time cost.

Key words： Turnout Switch Machine Fault Diagnosis Fast Dynamic Time Warping(FastDTW)

Received: 06 May 2020

ZTFLH:

u216.425

Corresponding Authors: HEI Xinhong,Ph.D.,professor.His research interests include machine learning,system safety and train ru-nning control.

About author:: JI Wenjiang,Ph.D.,lecturer.His research interests include intelligent rail system and VANET.ZUO Yuan,master student.His research interests include machine learning and pattern recognition.SEI Takahashi,Ph.D.,professor.His research interests include soft computing and its industrial application,intelligent rail system.HIDEO Nakamura,Ph.D.,professor.His research interests include intelligent rail system.

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	JI Wenjiang
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Cite this article:

JI Wenjiang,ZUO Yuan,HEI Xinhong等. An Intelligent Fault Diagnosis Method Based on FastDTW for Railway Turnout[J]. , 2020, 33(11): 1013-1022.

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http://manu46.magtech.com.cn/Jweb_prai/EN/10.16451/j.cnki.issn1003-6059.202011006 OR http://manu46.magtech.com.cn/Jweb_prai/EN/Y2020/V33/I11/1013

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