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基于多传感器数据融合的设备故障诊断方法研究

Research on Equipment Fault Diagnosis Method Based on Multi-sensor Data Fusion
作者:MA BinHAO LinchongZHANG WanjiangDAI JingHAN Zhonghua 作者单位:Information & Control Engineering Faculty,Shenyang Jianzhu University,Shenyang Liaoning China;Information & Control Engineering Faculty,Shenyang Jianzhu University,Shenyang Liaoning China 加工时间:2014-06-26 信息来源:科技报告(Other) 索取原文[5 页]
关键词:多传感器;数据融合;故障诊断;DS证据理论
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.
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