基于模糊定性趋势分析的JTC综合故障诊断方法
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U284.2

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中国铁路总公司科技研究计划课题(2015X007-H)。


Comprehensive Fault Diagnosis Method for Jointless Track Circuit Based on Fuzzy Qualitative Trend Analysis
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    摘要:

    针对JTC(jointless track circuit)补偿电容和调谐区故障检测方法不兼容的问题,提出基于模糊定性趋势分析的JTC综合故障诊断方法,实现包括补偿电容和调谐区设备的JTC综合故障诊断。基于传输线理论分别建立JTC补偿电容与调谐区设备故障的仿真模型,以补偿电容所在位置为分割点,提取JTC无故障及补偿电容与调谐区设备分别故障时的信号曲线趋势构建知识库,通过计算实际信号与知识库中经典故障模式的匹配度得出诊断结果。结果表明:信噪比越高,诊断正确率越高,当信噪比为50 dB,电阻为1Ω·km时,诊断正确率高达94.9%。相比于模拟退火算法,诊断方法具有更好的适用性和灵活性。

    Abstract:

    In this paper, the method of comprehensive fault diagnosis based on fuzzy qualitative trend analysis is presented to address the problem of incompatibility of detection methods for JTC compensation capacitor and tuning area, realizing comprehensive fault diagnosis of JTC including compensation capacitor and tuning equipment. A simulation model of JTC compensation capacitor and tuning equipment faults was established based on the transmission line theory. The signal curve trends of JTC fault-free, and the compensation capacitor and tuning equipment at fault were extracted respectively according to the divided point of compensation capacitor position, with which a knowledge base was built. the matching degree between an actual signal and the classical failure mode in knowledge base according to the matching degree formula defined in this paper. Finally, the diagnosis result was given. Experiments shows that the higher the SNR(Signal Noise Ratio) is, the higher the diagnostic accuracy is. The diagnostic accuracy is as high as 94.9% when the SNR is 50 dB and corresponding ballast resistance is 1 Ω·km. The proposed method has a higher flexibility and applicability compared with the simulated annealing algorithm.

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张友鹏,朱涛伟,赵斌.基于模糊定性趋势分析的JTC综合故障诊断方法[J].重庆大学学报,2019,42(3):65-75.

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  • 收稿日期:2018-04-10
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  • 在线发布日期: 2019-04-09
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