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3 / 2021-06-24 15:37:37
Performance Degradation Analysis of Railway Vehicle Door System Based on Density Peak Clustering
RVDS; Performance degradation; DPC; EN
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MaXiaoxiao / Nanjing University of AeroNautics and Astronaytics
LuNingyun / Nanjing University of AeroNautics and Astronaytics
XuZhixing / Nanjing Kangni Mechanical & Electrical Co., Ltd
JiangBin / Nanjing University of AeroNautics and Astronaytics






This paper proposed an intelligent analysis with Density Peak Clustering (DPC) to deal with low accuracy in the performance degradation analysis of Railway Vehicle Door System (RVDS). First, the features were evaluated and selected with the Elastic Network (EN). Subsequently, an analysis model that can select degraded data from the door operation data was established by DPC flexibly. The proposed performance degradation analysis of RVDS proposed in this paper has been verified by experiments with data collected from the bench testing door system of Hangzhou Metro Line 4, and the results can be used to validate high accuracy and practical value of the model.
重要日期

  • 会议日期

    08月06日

    2021

    至

    08月08日

    2021

  • 08月08日 2021

    注册截止日期

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中国自动化学会技术过程的故障诊断与安全性专业委员会
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电子科技大学
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