Mechanical fault diagnosis optimization method and system

Abstract

The invention discloses a mechanical fault diagnosis optimization method and system. The method comprises a preparation step and a diagnosis step. In the preparation step, a diagnosis sample library comprising all known diagnosis samples at present is constructed, a plurality of unknown diagnosis samples are constructed, and according to the known diagnosis samples and the unknown diagnosis samples, a fault diagnosis algorithm is trained and generated; and in the diagnosis step, a diagnosis sample representing a current running state of machinery is obtained from a site by applying the trained fault diagnosis algorithm, if a diagnosis result is that the running state is unknown, the running state of the machinery is determined by utilizing a technology of expert analysis, field analysis or the like, the diagnosis sample is updated as a known diagnosis sample, and after an unknown diagnosis sample similar to the recently updated known diagnosis sample is deleted, the fault diagnosis algorithm is re-trained. According to the method and system, the diagnosis sample library and the fault diagnosis algorithm can be dynamically perfected, so that the accuracy of fault diagnosis is enhanced, the running quality of machinery equipment is improved, and the production efficiency is raised.

Description

technical field [0001] The invention relates to the field of mechanical fault detection, in particular to a mechanical fault diagnosis optimization method and system. Background technique [0002] With the rapid development of modern industry and science and technology, the structure of modern equipment is becoming more and more complex, the functions are becoming more and more perfect, and the degree of automation is getting higher and higher. There is also a close relationship between the equipment, forming a whole in the production process. Therefore, a fault may cause a chain reaction, resulting in the failure of the entire equipment or even the entire production process, so the diagnosis of mechanical faults is of great significance. [0003] Fault diagnosis is an emerging comprehensive interdisciplinary field inspired by medical testing and diagnosis, and developed with the development of modern science and technology such as system engineering, information theory, cy...

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to provide a mechanical fault diagnosis optimization method and system for the current technical problems of low accuracy of mechanical fault identification and imperfect fault samples

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