The invention discloses a tiny fault detection method for a high-speed train traction system, and particularly relates to the field of fault detection. Comprising the following steps: analyzing correlation between an input variable and an output variable by using a standard variable so as to obtain a parameter matrix and generate residual data; using the obtained Hellinger distance to construct a statistical magnitude and setting a proper threshold value; and performing fault decision on the characteristic data of the high-speed train traction system. Experimental analysis shows that the method can effectively detect the occurrence of the small faults of the high-speed train traction system.
本发明公开了一种高速列车牵引系统的微小故障检测方法,具体涉及故障检测领域。包括:利用规范变量分析输入变量和输出变量之间的相关性,进而得到参数矩阵并生成残差数据;利用得到的Hellinger距离构建统计量并设置合适的阈值;对高速列车牵引系统特征数据进行故障决策。经实验分析表明,本发明能够有效的检测出高速列车牵引系统微小故障的发生。
Tiny fault detection method for high-speed train traction system
一种高速列车牵引系统的微小故障检测方法
2022-11-18
Patent
Electronic Resource
Chinese
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