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Application of Fuzzy Set Pair Analysis in Poor Shunting Early Warning for a Track Circuit

机译:模糊集对分析在轨道电路调车不良预警中的应用

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Aiming at the problem of poor shunting failures in track circuit which seriously affect transportation safety, this paper proposes an early warning strategy based on fuzzy set pair analysis. For an example of 25 Hz electronic phase detecting track circuit, main influence factors are taken as early warning indexes through the failure mechanism analysis. In consideration of the effect of man-induced subjective factors during the index weight decision by Analytic Hierarchy Process, the grey relational analysis is applied to correct the weight to make the results more reasonable. The concept of fuzzy connection degree is applied to determine the value of discrepancy coefficient in set pair analysis theory. Measured samples and warning grades are used to compose a set pair and the connection degrees of the measured samples and the warning grades are calculated and ranked. Then through the farther same, difference and antagonism set pair analysis the poor shunting early warning for track circuit is achieved. The results and comparisons with other methods show that the fuzzy set pair analysis method is feasible and can provide a scientific basis for track circuit site maintenance.
机译:针对轨道线路调车故障不良严重影响运输安全的问题,提出了一种基于模糊集对分析的预警策略。以25 Hz电子相位检测跟踪电路为例,通过故障机理分析,将主要影响因素作为预警指标。考虑到人为主观因素在层次分析法确定指标权重过程中的影响,采用灰色关联分析对指标权重进行校正,使结果更加合理。在集对分析理论中,应用模糊连接度的概念确定差异系数的值。使用测得的样本和警告等级构成一组对,并计算和排序测得的样本和警告等级的连接度。然后通过更进一步的相同,差异和对立集对分析,得出轨道电路的不良分流预警。结果和与其他方法的比较表明,模糊集对分析方法是可行的,可以为轨道电路现场维护提供科学依据。

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