Equipment fault diagnosis method

Abstract

An equipment fault diagnosis method successively comprises fault diagnosis training steps and fault diagnosis operation steps. The method focuses on a data form characteristic essence and combines a multi-dimensional segmentation fitting algorithm and an optimized dynamic time warping algorithm based on equipment fault data to carry out pattern expression of modeling and distance threshold extraction, and extract form characteristics from the found equipment abnormity data to carry out mode matching, so that an equipment data fault type can be identified and a reason diagnosis function is realized. In this way, the difficulties in current fault diagnosis technologies that similarity degrees among the fault data can hardly be described efficiently and accurately can be solved.

Description

technical field [0001] The invention relates to the technical field of fault diagnosis, in particular to a device fault diagnosis method. Background technique [0002] In recent years, with the continuous innovation and growth of science and technology and the rapid development of social industrialization, more and more industrial industrialization systems have been installed in large-scale industrial production occasions, creating irreplaceable huge productivity in this application environment . Therefore, the maintenance work of these equipments is particularly important and arduous. However, too many hidden influencing factors may cause the failure or even failure of these system equipment. Therefore, the state, enterprises and institutions are paying more and more attention to the status detection and fault diagnosis of these important system equipment. [0003] Generally speaking, the structure of these devices is becoming more and more complex and meticulous, and the...

AI Technical Summary

Problems solved by technology

[0009] In view of the problems and risks of the above-mentioned common fault diagnosis technologies, the present invention focuses on how to fully mine the potential intuitive expression form of data samples and the effectiveness of measuring the difference of fault modes, and tries to better solve the problem by establishing a new pattern matching technology. The efficiency of fault diagnosis is low and the identification accuracy is not high, which is conducive to the continuous maintenance of equipment in good condition

Images