Research on Equipment Fault Diagnosis Method Based on Multi-sensor Data Fusion

摘要：

　　In this papcr,wc prcscnted an cquipmcnt fault diagnosis method based on multi-sensor data fusion,in order to solve the problems such as uncertainty,imprecision and low reliability caused by using a single sensor to diagnose the equipment faults.We used a variety of sensors to collect the data for diagnosed objects and fused the data by using D-S evidence theory,according to the change of confidence and uncertainty,diagnosed whether the faults happened.Experimental results show that,the D-S evidence theory algorithm can reduce the uncertainty of the results of fault diagnosis,improved diagnostic accuracy and reliability,and compared with the fault diagnosis using a single sensor,this method has a better effect.

关键词： multi-sensor data fusion fault diagnosis D-S evidence theory

作者: MA Bin HAO Linchong ZHANG Wanjiang DAI Jing HAN Zhonghua

作者单位: Information & Control Engineering Faculty,Shenyang Jianzhu University,Shenyang Liaoning China

会议类型: 国际会议

会议名称: 2012 International Conference on Intelligent System and Applied Material(2012智能系统与应用材料国际会议)(GSAM2012)

会议地点: 太原

会议语种:英文

页码: 1222-1226

在线出版日期: 2012-01-13（万方平台首次上网日期，不代表论文的发表时间）