基于改进D-S证据理论的煤矿通风机故障诊断  

Fault Diagnosis Methods for Coal Mine Ventilator Based on Improved D-S Evidential Theory

作　　者：程加堂[1] 熊伟[1] 艾莉[1] 

机构地区：[1]红河学院工学院,云南蒙自661199

出　　处：《工业安全与环保》2014年第1期35-37,共3页Industrial Safety and Environmental Protection

基　　金：云南省应用基础研究计划项目(S2012FZ0148)

摘　　要：为了提高煤矿通风机故障诊断的准确性,提出了一种基于改进证据理论信息融合的故障诊断方法。针对强冲突证据之间的合成问题,通过引入相容系数的概念,充分考虑证据间的相容性和冲突性,建立了一种新的证据权重的确定方法。在对原始证据进行修正后,由D-S证据理论合成规则进行融合决策。仿真结果表明,该方法可以有效识别出煤矿通风机的故障类型,且能避免误诊现象。In order to improve the accuracy of the coal mine ventilator fault diagnosis, a fault diagnosis method based on improved evidence theory of information fusion is proposed. For the fusion between strong conflict evidences, this paper introduces the concept of compatibility coefficient to give full censidemtion to the compatibility and centlicfng between evidences, then establish a new detemainafion method for evidence weight.D-S evidence theory combination rules are used to conduct fusion decisionmaking after the original evidence is mended. The simulation results show that the proposed method can effectively diagnose the fault of ventilator and avoid misdiagnosis.

关 键 词：煤矿通风机 证据理论 改进 故障诊断 

分 类 号：TD441[矿业工程—矿山机电]