In order to better reflect the continuity of the failure process of the point machine and the whole process from normal to failure, this paper proposes a health machine evaluation plan based on ResNet and Markov state transfer contingency model. ResNet is used to evaluate the failure probability of the real-time curve, and the Markov state transition model is built according to the different operating states of the equipment to comprehensively judge the health of the switch. This paper uses the actual operational data of 173 sets of equipment in China to verify the algorithm. The results show that the algorithm described in this paper can reflect the continuity and complexity of the health of the switch and provide effective guidance for the state maintenance of the switch.


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    Titel :

    Research on PHM Evaluation of Point Machine with State Transition Variable Weight


    Weitere Titelangaben:

    Lect. Notes Electrical Eng.


    Beteiligte:
    Qin, Yong (Herausgeber:in) / Jia, Limin (Herausgeber:in) / Liu, Baoming (Herausgeber:in) / Liu, Zhigang (Herausgeber:in) / Diao, Lijun (Herausgeber:in) / An, Min (Herausgeber:in) / Wu, Minzhe (Autor:in) / Li, Zhipeng (Autor:in)

    Kongress:

    International Conference on Electrical and Information Technologies for Rail Transportation ; 2019 ; Qingdao, China October 25, 2019 - October 27, 2019



    Erscheinungsdatum :

    2020-04-04


    Format / Umfang :

    9 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





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