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

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。

Abstract:

In this paper bring the cloud model into the traditional fuzzy fusion diagnosis system and constructed cloud - fuzzy fusion diagnosis 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 the decision-making fault , it can make the diagnosis result become more objective and fuzziness, finally, the simulation example shows that the new system has the advantages which the traditional diagnosis system does not have.