Task reliability state-based manufacturing system predictive maintenance method

Abstract

A manufacturing system predictive maintenance method based on task reliability status, the steps are as follows: 1. Establish the basic database of the manufacturing system; 2. Use the basic data to analyze the trend of equipment performance and various related parameters; 3. Predict the correctness of equipment Maintenance costs; 4. Forecast equipment maintenance costs; 5. Forecast equipment processing capacity loss costs; 6. Forecast equipment indirect loss costs; 7. Forecast equipment product quality loss costs; 8. Forecast comprehensive costs and determine the equipment task reliability threshold , and then determine the best predictive maintenance strategy; 9. According to the results of step 8, determine the task requirements of the previous equipment, and repeat steps 2-8 until the formulation of the predictive maintenance strategy for the entire manufacturing system is completed; 10. Results analysis; passed The above steps achieve the engineering purpose of combining equipment performance status with production tasks, and solve the problem of traditional condition-based maintenance ignoring production status and the blindness of periodic maintenance.

Description

technical field [0001] The invention provides a predictive maintenance method for a manufacturing system based on task reliability status, which belongs to the field of production management. Background technique [0002] As a key measure to improve the reliability and usability of the manufacturing system to ensure production efficiency, product quality, and corporate profits, the maintenance strategy of the manufacturing system has always been the focus of manufacturing enterprises. According to statistics, usually equipment maintenance costs account for 15%-40% of manufacturing costs, and with the development of automation and intelligent technology, its annual increase rate is as high as 10%-15%. Therefore, formulating a reasonable predictive maintenance strategy for manufacturing systems has become an important means for enterprises to reduce operating costs and improve market competitiveness. [0003] With the rapid development of information technology and computing ...

AI Technical Summary

Problems solved by technology

The condition-based maintenance method pays more attention to the degradation state of the equipment itself, and establishes the maintenance strategy of the manufacturing system based on the basic reliability state of the equipment. This method undoubtedly ignores the requirements and restrictions from production tasks and product quality, and lacks practicability; periodic maintenance It is based on the system running time to establish the optimal preventive maintenance cycle of the manufacturing system. This method is widely used in actual production, but ignoring the method itself ignores the system running status, which often leads to unnecessary economic losses caused by excessive maintenance. Or maintenance does not affect production in time, and even cause safety accidents

Aiming at the limitations that the existing research ideas cannot comprehensively consider the polymorphism of the manufacturing system from the perspective of system engineering, and cannot formulate feasible maintenance strategies for enterprises, this patent proposes a predictive maintenance method for manufacturing systems based on task reliability status : By defining the task reliability of the manufacturing system (the ability of the manufacturing system to complete the specified production tasks under the specified conditions and within the specified time (ie R d )) Integrate equipment performance status and actual production task requirements to scientifically describe the production status of the manufacturing system, and then use the minimum comprehensive cost as the criterion, combined with the transfer of task requirements between the relevant stations of the manufacturing system, analyze the current manufacturing system sequentially. Optimal predictive maintenance strategy for each device in the system

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