A fault diagnosis method, system, device and storage medium

Abstract

The present application discloses a fault diagnosis method, system, device, and storage medium. The method includes: respectively obtaining feature data sets corresponding to the initial feature set of the target device during normal operation and faulty operation, and obtaining the normal feature data set and The training data of the fault feature data set; respectively calculate the corresponding KL distance between each feature data in the normal feature data set and the corresponding feature data in the fault feature data set to obtain the KL distance set; use support vector machine classification to perform crossover on the training data Verification; according to the verification result and the size of the KL distance in the KL distance set, determine the features related to the faulty operation from the initial feature set to obtain the optimal feature set; when the data to be diagnosed of the target device is obtained, it is determined from the data to be diagnosed The feature data corresponding to the optimal feature set is obtained, and then the target equipment is used to carry out corresponding fault diagnosis on the target equipment. The present application effectively improves the accuracy of subsequent fault diagnosis results.

Description

technical field [0001] The present invention relates to the technical field of fault diagnosis, in particular to a fault diagnosis method, system, equipment and storage medium. Background technique [0002] At present, when people judge whether a piece of equipment is faulty, it is usually determined by manual judgment. On the one hand, due to the influence of human subjective factors, the reliability of fault diagnosis results is unstable. A lot of labor costs, and low diagnostic efficiency. In order to reduce labor costs and improve diagnostic efficiency, people are gradually using support vector machines to diagnose equipment faults, but the accuracy of the diagnostic results needs to be further improved. [0003] In summary, how to improve the accuracy of fault diagnosis results is an urgent problem to be solved. Contents of the invention [0004] In view of this, the object of the present invention is to provide a fault diagnosis method, system, device and storage m...

AI Technical Summary

Problems solved by technology

[0002] At present, when people judge whether a piece of equipment is faulty, it is usually determined by manual judgment. On the one hand, due to the influence of human subjective factors, the reliability of fault diagnosis results is unstable. Significant labor costs and low diagnostic efficiency

In order to reduce labor costs and improve diagnostic efficiency, people are gradually using support vector machines to diagnose equipment faults, but the accuracy of the diagnostic results needs to be further improved

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