基于信息融合的异步电动机故障迹象智能预测系统的研究

异步电动机故障机理较复杂,利用单个信息只能判断异步电动机系统可能在某些方面有故障征兆,结论具有一定的不确定性,特别是异步电动机在早期有劣化迹象时,各个方面的表现都比较弱,需要全面综合众多信息进行有效融合。针对上述问题,提出了一种基于信息融合的异步电动机故障迹象智能预测系统的设计方案,分析了D-S证据理论的原理,并在其基础上给出了基于单个信息和基于多个信息融合的异步电动机故障诊断结果。实际应用表明,该系统具有一定的有效性。

Research of Intelligent Prediction System of Fault Signs of Asynchronous Motor Based on Information Fusion

The fault mechanism of asynchronous motor is complex,single information can only reflect some fault aspects of asynchronous motor system,the conclusion coming from single information has uncertainty.Especially when asynchronous motor is in early deterioration signs,appearance of each aspect is weaker,so it needs effective fusion for multi-information completely.In order to solve above problem,the paper proposed a design scheme of intelligent prediction system of fault signs of asynchronous motor based on information fusion,analyzed principle of D-S evidence theory,and gave fault diagnosis results of asynchronous motor based on single information and multi-information fusion.The actual application showed that the system has certain effectiveness.