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。


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    Titel :

    Tiny fault detection method for high-speed train traction system


    Weitere Titelangaben:

    一种高速列车牵引系统的微小故障检测方法


    Beteiligte:
    WANG YAN (Autor:in) / CHENG CHAO (Autor:in) / GAO HONGLIU (Autor:in)

    Erscheinungsdatum :

    2022-11-18


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Chinesisch


    Klassifikation :

    IPC:    G06K Erkennen von Daten , RECOGNITION OF DATA / B60L PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES , Antrieb von elektrisch angetriebenen Fahrzeugen



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