基于双论域Vague粗糙集的矿井通风机故障诊断  

Fault Diagnosis of Mine Ventilator Based on Dual Discourse Domain Vague Rough Set

作　　者：宋栋 SONG Dong(CCTEG Taiyuan Research Institute Co.,Ltd.,Taiyuan 030006,Chin)

机构地区：[1]中国煤炭科工集团太原研究院有限公司,山西太原030006

出　　处：《煤矿机电》2018年第3期42-45,共4页Colliery Mechanical & Electrical Technology

基　　金：山西省科技攻关项目(2015031006-1)

摘　　要：为有效分析矿井通风机故障诊断,利用Vague集来刻画故障类型与故障特征之间关系的不确定性,借助双论域粗糙集模型进行基于Vague集的不确定性信息系统分析,提出了双论域Vague粗糙集的概念,并建立基于双论域Vague粗糙集的矿井通风机故障诊断方法。实例分析验证了所提出故障诊断方法的合理性。In order to effectively analyze the fault diagnosis of the mine fan,the Vague set was used to describe the uncertainty of the relationship between the fault type and the fault feature,a dual discourse domain rough set model was used to analyze the uncertain information system based on Vague sets,and the concept of double discourse domain Vague rough sets was proposed. The fault diagnosis method of mine fan based on dual discourse domain Vague rough set was established. The case analysis proved the reasonableness of the proposed fault diagnosis method.

关 键 词：矿井通风机 故障诊断 VAGUE集 双论域Vague粗糙集 

分 类 号：TD635[矿业工程—矿山机电] TM307.1[电气工程—电机]