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基于Fisher判别分析的铁路车辆悬挂系统故障诊断

Fault Diagnosis for Rail Vehicle Suspension Systems Based on Fisher Discriminant Analysis

作者:Xiukun Wei;Sheng Wu;Jianlong Ding;Limin Jia;Qu Sun;Minzhen Yuan 作者单位:State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing 100044, China;School of Automation and Electrical Engineering, University of Science and Technology Beijin 加工时间:2015-08-05 信息来源:科技报告(DE) 索取原文[11 页]
关键词:汽车;故障检测;判别分析
摘 要:In this paper, fisher discriminant analysis (FDA) is used for fault isolation and diagnosis in rail vehicle suspension systems. The suspension systems are equipped with acceleration sensors in the corners of the car body and the two bogies. The faults considered are the lateral damper faults and the lateral spring faults in suspension systems. FDA provides an optimal projection space on the basis of the training data including the fault data and normal data to classify the test data. A vehicle model is built by SIMPACK/MATLAB software with real parameters to obtain the simulation data and the effectiveness of the proposed method is demonstrated by simulation.
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