Mechanical failure diagnostic method based on complex immune network algorithm

Abstract

The invention relates to a mechanical failure diagnostic method based on a complex immune network algorithm. The mechanical failure diagnostic method comprises the following steps of: taking a mechanical failure sample as an antigen of a complex immune algorithm network, and taking a condition that an algorithm cycle number reaches to G as an end condition; when iterating for the first time, ensuring that an evolutional generation k is equal to 0, and randomly generating P real-coded antibodies as an antibody group Ab; gradually calculating affinities fij between antibodies Ab and antigens Ag; uniformly dividing the antibody group into a plurality of sub-groups in sequence according to the sizes of the affinities; respectively mutating all the sub-groups, and replacing former antibody members by newly-generated antibody centralized-improved members to generate a new antibody group; inputting the new antibody group generated in the step 4 into a complex immune network model for regulation; increasing 1 to the evolutional generation k, namely k=k+1; if the end condition that k is equal to G is met, stopping the calculation; otherwise, returning back to the step 3 and inputting a sample to be tested to calculate the affinity between the sample to be tested and the antibody obtained in the algorithm.

Description

technical field [0001] The invention relates to the field of equipment fault diagnosis, in particular to a mechanical fault diagnosis method based on an immune network algorithm. This method can be used to solve the problem of fault identification and classification in mechanical fault diagnosis. Background technique [0002] Mechanical fault diagnosis is a comprehensive marginal subject that emerged and developed in the 1960s and 1970s. With the continuous advancement of science and technology and the rapid development of modern industry, modern equipment is becoming larger, more integrated, more precise, more complex, more automated and more continuous. The fault diagnosis technology of mechanical equipment has been paid more and more attention. If a certain equipment fails to find and eliminate it in time, the result will not only cause damage to the equipment itself, but may even cause damage to production and quality as well as people's life and property safety. unfor...

AI Technical Summary

Problems solved by technology

[0007] The purpose of the present invention is to provide a mechanical fault diagnosis method based on a complex network algorithm to solve the problems of high requirements on the number of fault samples, poor self-organization and self-learning ability in traditional fault diagnosis methods, and to improve the efficiency of mechanical fault diagnosis and Accuracy Offers New Approaches

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