Abstract Based on analysis of action current curves change law when the speed-up turnout is normal and fault, this paper summarized the current curve eigenvalues, proposed the turnout fault intelligent self-diagnostic algorithms based on change characteristics of the turnout action current curve. Then mapping sample set between action current curve eigenvalues and turnout fault types, and using BP neural network to establish speed-up turnout fault intelligent diagnosis algorithm. The results show that: the fault diagnosis algorithm of the speed-up turnout is high precision and adaptability.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Algorithm of Speed-up Turnout Fault Intelligent Diagnosis Based on BP Neural Network


    Beteiligte:
    Zhang, Kai (Autor:in) / Ju, Yongfeng (Autor:in) / Du, Kai (Autor:in) / Bao, Xu (Autor:in)


    Erscheinungsdatum :

    2016-11-25


    Format / Umfang :

    10 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Turnout control circuit fault diagnosis system

    FENG GUIPING / WANG ZHIXIN / SHI LONG et al. | Europäisches Patentamt | 2023

    Freier Zugriff

    Fault Diagnosis of Railway Turnout Based on Random Forests

    Zhang, Huiyue / Wang, Zhipeng / Wang, Ning et al. | Springer Verlag | 2020


    Fault Diagnosis of Railway Turnout Based on Random Forests

    Zhang, Huiyue / Wang, Zhipeng / Wang, Ning et al. | British Library Conference Proceedings | 2020


    Fault Diagnosis of Railway Turnout Based on Random Forests

    Zhang, Huiyue / Wang, Zhipeng / Wang, Ning et al. | TIBKAT | 2020


    Turnout intelligent external lock fault auxiliary judgment system

    ZHOU QIANG / ZHANG MINGPENG / ZHANG SHOUXIN et al. | Europäisches Patentamt | 2020

    Freier Zugriff