基于信息融合的二重并发故障诊断方法

Composite Fault Diagnosis Method Based on Information Fusion

针对复合故障诊断的高难度和复杂性,造成对复合故障类型难以作出判断的问题,提出了一种基于证据理论的复合故障诊断方法。结合无量纲指标,并充分考虑了不同指标对不同故障的诊断能力、敏感程度不同的特性,采用加权证据理论的方法对故障信息进行融合,从而提高了诊断的可靠性和准确度。经实验证明了该方法切实可行。

For the difficulty and complexity of compound fault diagnosis and the problem that compound fault is difficult to be judged, a diagnostic method based on evidence theory and non-dimensional indicators is proposed in this paper. And fully considering different diagnostic ability and sensitive degree of the different indexes to different faults, using weighted evidence theory to fuse the fault information can improve the reliability and accuracy of the diagnosis. Experimental result shows that the method is feasible.