基于模糊综合评判的采煤机故障诊断研究  

Research about Shearer Malfunction Fault Diagnosis Based on Fuzzy Synthetic Evaluation Theory

作　　者：尹丽娜[1] 梁鸿雁[1] 汪琦[2] 

机构地区：[1]三一重型装备有限公司,沈阳110027 [2]沈阳施道克电力设备有限公司,沈阳110141

出　　处：《煤矿机械》2009年第2期211-212,共2页Coal Mine Machinery

摘　　要：针对采煤机故障诊断中的不确定性知识的表示和推理问题,将模糊理论引用到该系统中。通过对采煤机故障机理的深入研究和专家经验的总结,建立符合故障和征兆的非一一对应关系和人的思维特点模糊关系矩阵,将经过特征处理的采煤机故障特征参数归化到相应的隶属度,并通过与模糊关系矩阵的模糊运算,得出故障的模糊关系向量,最后,根据相应诊断原则诊断采煤机故障。经实例验证,此方法具有计算简单、结论明确直观的特点。Concerning a question of uncertain knowledge expression and reasoning in shearer malfuncton, the fuzzy theory is used in shearer malfuncton fault diagnosis. Fuzzy relation matrix is established based on deep research of fault mechanism and expert experience, which agrees with fault and fault symptoms non one - to - one relationship and human thinking. Fault characteristic parameter is calculated to corresponding subordinate degree, then is operated with fuzzy relation matrix and get fault fuzzy vector. Finally, the shearer malfuncton fault is diagnosed according to certain diagnosis principle. The example proves that the method has less calculation, explicit conclusion and other merits.

关 键 词：采煤机 模糊 故障 

分 类 号：TP277[自动化与计算机技术—检测技术与自动化装置] TD421.6[自动化与计算机技术—控制科学与工程]