Method on the Fault Detection and Diagnosis for the Railway Turnout Based on the Current Curve of Switch Machine

Abstract:

This paper proposes a method of the fault detection and diagnosis for the railway turnout based on the current curve of switch machine. Exact curve matching fault detection method and SVM-based fault diagnosis method are adopted in the paper. Based on envelope and morpheme match algorithm, exact curve matching method is used to match the detected current curve with the reference curve so as to predict whether the curve would have fault or not. Moreover, the SVM-based fault diagnosis method is used to make sure that the fault conditions could be diagnosed intelligently. Finally, the experimental results show that the proposed method can accurately identify the turnout fault status in the conversion process, and the accuracy rate in the diagnosis of the fault location is above 98%, which verify the effectiveness of the method in the fault detection and diagnosis.

• Periodical: Applied Mechanics and Materials (Volumes 427-429)
• Pages: 1022-1027
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.427-429.1022
• Online since: September 2013
• Authors: Xue Mei Mo*, Yu Fang, Yun Guo Yang
• Keywords: Current Curve of Switch Machine, Curve Matching, Fault Detection, Fault Diagnosis, Railway Turnout, SVM

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