Fault Isolation for Light Rail Vehicle Suspension System based on Multi-sensor Information Fusion
作者单位：State Key Laboratory of Rail Traffic Control and Safety Beijing Jiaotong University School of Traffic and transportation Beijing Jiaotong University
会议名称：《第25届中国控制与决策会议》
主办单位：IEEE;NE Univ;IEEE Ind Elect Chapter;IEEE Harbin Sect Control Syst Soc Chapter;Guizhou Univ;IEEE Control Syst Soc;Syst Engn Soc China;Chinese Assoc Artificial Intelligence;Chinese Assoc Automat;Tech Comm Control Theory;Chinese Assoc Aeronaut;Automat Control Soc;Chinese Assoc Syst Simulat;Simulat Methods & Modeling Soc;Intelligent Control & Management Soc
会议日期：2013年
学科分类：080202[工学-机械电子工程] 082304[工学-载运工具运用工程] 08[工学] 080204[工学-车辆工程] 0802[工学-机械工程] 0823[工学-交通运输工程]
基 金：supported by Chinese 863 program (Contract No. 2011AA110503-6) State Key Laboratory of Rail Traffic Control and Safety (Contract No.RCS2011ZZ005) Ph.D. Programs Foundation of Ministry of Education of China (grant number: 20110009120037)
关 键 词：Light Rail vehicle suspension system Fault isolation D-S evidence theory and Multi-sensor information fusion
摘 要：In this paper, fault isolation issue for Light Rail Vehicle suspension system based on multi-sensor information fusion is discussed. The faults considered are the vertical damper fault and the vertical spring fault in suspension systems. The Eros is applied for similarity measurement in the fault feature database, Fast Fourier Transformation for nine sensor outputs equipped on the vehicle. After the belief function assignments are obtained by using Eros method, the belief function assignments are fused by using the rules of D-S evidence combination and the faulty component is determined and isolated. The effectiveness of the proposed method is demonstrated by a case study.