Fault estimation and maintenance method for intelligent manufacturing production line

Abstract

The invention discloses a fault estimation and maintenance method for an intelligent manufacturing production line. The method comprises the following steps: step 1, obtaining HMM-based equipment degradation process description through a computer hardware monitoring system; and step 2, enabling the computer to adopt an HDP-HMM-based equipment fault prediction evaluation and formulating a maintenance technical scheme. According to the technical scheme of fault estimation and maintenance of the intelligent manufacturing production line provided by the invention, HMM sequence data is processed through an HDP-HMM algorithm by using a computer hardware monitoring system and a computer, the defect that the state number of an HMM model must be preset is overcome, meanwhile, the functional characteristic of automatically generating the cluster number by HDP is exerted, and the degradation state of the equipment is more accurately obtained. The computer realizes the prediction of the residual life of the production line equipment in different degradation states, the prediction result is more comprehensive and effective, the maintenance technical scheme is more optimized, and the economic benefit is better.

Description

technical field [0001] The invention relates to a fault prediction and maintenance technology of an intelligent manufacturing production line, and belongs to the technical field of fault prediction and maintenance of intelligent manufacturing. Background technique [0002] With the promotion and implementation of the national strategy of intelligent manufacturing, the intelligent production lines developed and constructed by enterprises are developing rapidly, and more and more equipment are introduced into the production lines. requirements. The traditional "scheduled maintenance" is not suitable for the traditional scheduled maintenance mode of regular replacement because the intelligent production line involves complex maintenance techniques, high-value parts and professional high-skilled personnel, and the maintenance cost is high. The "post-maintenance" cannot meet modern production. Operation requirements, in the production process, the production line should have a h...

AI Technical Summary

Problems solved by technology

[0004] However, due to the complexity of the structure and mechanism of the mechanical equipment itself, the factors affecting the operation of the system are complex and changeable, and the state behavior exhibited by the machine has the characteristics of large-scale uncertainty, high nonlinearity, dynamic time-varying, and strong correlation. It is usually difficult to establish an accurate and complete mechanism model, and it is difficult to describe the dependencies between various parts of the system, which brings greater difficulties and challenges to accurate prediction

Images