基于信息融合技术的提升机控制系统故障诊断方法的研究  

Method of Fault Diagnosing for Hoist Control System Based on Information Fusion Technology

作　　者：王新[1] 王志珍[1] 

机构地区：[1]河南理工大学电气学院,河南焦作454000

出　　处：《煤矿机电》2007年第2期16-18,共3页Colliery Mechanical & Electrical Technology

基　　金：河南省自然科学基金项目(编号:004060100)

摘　　要：针对提升机控制系统故障诊断方法存在的局限性,提出了一种基于多传感器信息融合的智能故障诊断方法。该方法采用D-S证据理论决策级融合进行故障识别,利用统计证据获得Mass函数。通过一实例论证了在提升机控制系统故障诊断中,采用此方法比单传感器信息故障诊断方法更具准确性和可靠性。In view of the limitation of fault diagnosing for hoist control system, an intellective fault diagnosing method based on multi-sensor information fusion is presented. This method adopts D-S evidence theory with decision-making fusion for fault identification and uses statistical evidence to obtain Mass function. By comparing two diagnostic results of a case, this method is proved more accurate and reliable than the single-sensor information fault diagnosing for hoist control systems.

关 键 词：信息融合 故障诊断 统计证据 MASS函数 

分 类 号：TD534.6[矿业工程—矿山机电]