摘要
分析了矿井主通风机电动机绝缘老化状态及绝缘故障产生原因和演变过程,介绍了一种矿井主通风机电动机绝缘状态在线监测及故障诊断系统;结合现有的故障数据库,针对绝缘状态故障诊断过程中信号的模糊性问题,提出了一种基于模糊理论与D-S证据理论的电动机绝缘故障诊断方法。该方法运用模糊理论求取故障信息的隶属度函数值,利用D-S证据理论组合规则进行信息融合与处理,根据相应的诊断判定准则,确定系统的绝缘故障类型。系统实例分析验证了该方法的可行性和有效性。
The paper analyzed causes of insulation aging status and insulation failure and its evolution process of motor of mine main ventilator,introduced an online insulation condition monitoring and fault diagnosing system of motor of mine main ventilator.In order to solve problems which will lead to signal ambiguity in insulation status failure diagnosing process,it proposed insulation fault diagnosing method of motor based on fuzzy theory and D-S evidence theory combining with existing database of fault diagnostic information.The method uses fuzzy theory to calculate membership function values of fault information,and uses combination rules of the D-S evidence theory to realize information fusion and processing to determine types of insulation fault of the system according to corresponding diagnostic criteria.The instance analysis of the system verifies feasibility and validity of the method.
出处
《工矿自动化》
北大核心
2013年第9期31-36,共6页
Journal Of Mine Automation
基金
高等学校博士学科点专项科研基金资助项目(20111402110010)
山西省青年自然科学基金资助项目(2011021015-1)
国家国际科技合作专项项目(0S2013ZR0493)
关键词
矿井主通风机
绝缘状态
故障诊断
D-S证据理论
模糊理论
mine main ventilator
insulation condition
fault diagnosing
D-S evidence theory
fuzzy theory
