Deflection sensors fault time locating based on Kalman filtering and data fusion
Traditional research on sensor fault are usually confined to fault space locating,however,it’s very necessary to determine the time that the fault occurrence for subsequent data processing and to guarantee the normal operation of the monitoring system.Therefore,this paper proposes a method of sensors fault time locating.First of all,use Kalman filter to process the sensor data,then define the support level of sliding window correlation to sample correlation,combining with multi sensors data fusion,so as to identify the accurate time point of fault.Combine the deflection sensors data from Caiyuanba bridge,simulating four common faults.The results show that the error of located time is less than the width of the sliding window.
time locating Kalman filter sliding window support level data fusion
Shunren Hu Jianke Zhang Kuai Liang Ming Bao
Chongqing University of Technology, China
国际会议
重庆
英文
820-823
2015-03-21（万方平台首次上网日期，不代表论文的发表时间）