Performance degradation monitoring based on data fusion method for in-service train pneumatic brake system
Performance degradation monitoring based on data fusion method for in-service train pneumatic brake system
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DOI：
10.1177/0954406218778882
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发表时间：
2018-06
期刊：
影响因子：
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通讯作者：
Jianyong Zuo;J. Ding;Wei Hu;Fei Han;Lihua Zhang
中科院分区：
文献类型：
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作者：
Jianyong Zuo;J. Ding;Wei Hu;Fei Han;Lihua Zhang
为了监测在役列车气压制动系统制动性能退化状态，提出了一种基于数据处理和相关性分析的数据融合方法。利用主成分分析法和层次分析法对我国某地铁线路的历史车载数据进行分析，提取了基于7个主信号的制动缸压力曲线的5个主要指标，建立了气压制动系统的层次分析模型。同时，利用MATLAB编写了标准制动缸压力曲线快速拟合工具，实现了对国内某地铁线路不同车辆、不同荷载、不同站点下的车载历史数据的快速曲线拟合，并通过正常和劣化数据对算法进行了验证。通过标准曲线与拟合曲线的偏差分析，实现了在役列车气动制动性能退化状态的监测。本文提出的方法也适用于其他轨道交通列车气压制动系统性能的分析。
In order to monitor the brake performance degradation state of the in-service train pneumatic brake system, a data fusion method based on data processing and correlation analysis is proposed in this paper. By using the principal component analysis and analytic hierarchy process to analyze the historical on-board data of one subway line in China, five major indicators of the brake cylinder pressure curve based on seven principal signals are extracted, and the analytic hierarchy model of pneumatic brake system is established. Meanwhile, a standard brake cylinder pressure curve fast fitting tool programmed with MATLAB can realize the rapid curve fitting of historical on-board data under different vehicles, loads, and stations for a domestic subway line, and the algorithm has been validated by the normal and degradation data. By this way, the in-service train pneumatic brake performance degradation state is monitored through the deviation analysis between the standard curve and the fitting one. The method proposed in this paper is also suitable for the analysis of the pneumatic brake system performance of other rail transit trains.