基于云-模糊融合技术的电机故障诊断  

Motor Fault Diagnosis Based on Cloud-Fuzzy Fusion Technology

作　　者：王惠中[1] 任虎[1] 効迎春 夏雨婷[1] 

机构地区：[1]兰州理工大学电气与信息工程学院,兰州730050

出　　处：《计算机测量与控制》2015年第8期2614-2616,2621,共4页Computer Measurement &Control

基　　金：国家自然基金资助项目(50967001);甘肃省自然基金(1308RJZA117)

摘　　要：在传统模糊融合诊断系统基础上加入云模型,运用该模型的正、逆向云发生器、云运算原理,构建了云—模糊融合诊断系统;该系统结合了云模型的模糊性、随机性、统计性,在对电机故障进行决策,不仅有效地解决了传统诊断系统存在单一判别准则无法判别的局限,还拓宽了电机故障模糊判别准则,可有效地评定决策故障结果,使诊断结果更具有客观性与模糊性,最后通过仿真实例表明了新系统具有传统诊断系统所不具备的优势。In this paper bring the cloud model into the traditional fuzzy fusion diagnosis system and constructed cloud -- fuzzy fusion diag nosis system, with the model of forward , back cloud generator and cloud computing principles. The new system can be used for motor fault in decision--making effectively which combined with the fuzziness and randomness, statistical properties of cloud model , it not only solve the traditional diagnosis system limitations which exist the condition of a single criterion cannot distinguish, also widened the motor fault fuzzy criterion which can evaluate effective tbe decision--making fault , it can make the diagnosis result hecorne more objective and fuzziness, final ly, the simulation example shows that the new system has the advantages which the traditional diagnosis system does not have.

关 键 词：云模型 模糊融合 电机故障 云运算 

分 类 号：TN929.52[电子电信—通信与信息系统]