Fusion method and device for fault diagnosis results

Abstract

The present invention provides a method and device for merging fault diagnosis results, wherein the method includes: obtaining various fault diagnosis results obtained by various diagnosis methods; wherein each diagnosis method corresponds to a fault diagnosis result; The fault diagnosis results corresponding to the method are converted into individual matching degrees according to the individual matching degree matrix; the individual matching degree represents the degree of trust in the fault diagnosis results given by each diagnostic method; according to the converted individual matching degree, the pre-established confidence rule base, Determine the confidence of multiple fusion results of multiple fault diagnosis results; the confidence rule base is pre-established based on multiple fault fusion samples, and the confidence represents the degree of trust for each fusion result; according to the confidence of multiple fusion results, determine Final fault diagnosis results. The above technical solution improves the accuracy of the fault diagnosis result and ensures the efficient and safe operation of the equipment.

Description

technical field [0001] The invention relates to the technical field of fault diagnosis, in particular to a method and device for fusing fault diagnosis results. Background technique [0002] Classical fault diagnosis methods have been widely used in the actual industry. However, with the increase of production scale, the increase of process complexity and the improvement of product quality requirements, higher requirements are put forward for fault diagnosis. On the one hand, the diagnostic performance of the fault diagnosis method may decrease significantly with the increase of running time, resulting in false alarms and missing alarm information. Operators need to spend a lot of time to check these alarm information one by one to ensure the normal and safe operation of the system. On the other hand, any fault diagnosis method often needs to ignore some factors or make some assumptions in the process of derivation and proof. These preconditions often lead to different fa...

AI Technical Summary

Problems solved by technology

However, the D-S fusion theory cannot deal with the incompleteness of prior knowledge, which shows that evidence conflicts often appear in the process of decision fusion, resulting in low accuracy of fault diagnosis fusion.

[0004] For the above problems, no effective solution has been proposed

Images