A preventive maintenance method and workshop manufacturing system based on failure impact analysis

Abstract

The invention relates to the field of production system intelligent control, in particular to a preventive maintenance method based on fault influence analysis, and a workshop manufacturing system, and the workshop manufacturing system comprises a modeling module, a maintenance strategy planning module, an evaluation setting module and a fault analysis module; an efficient preventive maintenance method based on fault influence analysis is applied. FEA-based reliability evaluation and component importance measurement are performed under a PM strategy; after the preventive maintenance method isapplied to the workshop manufacturing system, the reliability evaluation and dynamic opportunity maintenance method can be verified, and the preventive maintenance method smoothly solves the problemsthat in workshop manufacturing system reliability analysis, network modeling, vulnerability recognition, repair system evaluation standards, PM strategies and the like are fuzzy in understanding, andthe actual application effect is poor. The workshop manufacturing system can help to achieve reliability optimization and reasonable maintenance resource distribution of the whole workshop manufacturing system in actual production.

Description

technical field [0001] The invention relates to the field of intelligent control of production systems, in particular to a preventive maintenance method and a workshop manufacturing system based on failure impact analysis. Background technique [0002] In a globalized and interconnected marketplace, the manufacturing industry has always faced a dynamic and unpredictable environment with increasing levels of complexity in the relentless pursuit of cost reduction and efficiency optimization. Manufacturing systems are forced to become more reliable internally to deal with various risks. The inconveniences of an unreliable manufacturing system include lost production downtime, high repair costs, high inventories, reduced quality and delayed delivery times. These inconveniences are key issues in actual production control, and international experts believe that a pragmatic approach must be adopted to achieve reliability and maintainability of job shop manufacturing systems. [0...

AI Technical Summary

Problems solved by technology

However, failure effects can be very severe and can be avoided far beyond the original PM point determined at the machine level. The original purpose of PM is to avoid the effects of failure and corrective maintenance (CM for short) activities. (referred to as FEA) to formulate the PM strategy in a dynamic opportunity manner, so there are obvious defects in the PM strategy in the prior art

[0005] Reliability assessment of machining and manufacturing systems has been extensively studied, however, most of them target individual equipment based on several months of failure and repair data, little work has been done on reliability assessment of manufacturing systems in job shops, machines and production lines Manufacturing resources such as

Reliability is defined as the ability of a system or component to perform its required functions within a specified period of time under specified conditions. For the reliability analysis of manufacturing systems, the ability to define reliability is vague, due to the Attributes such as multiple failure states, multiple failure modes, and multiple failure effects, common reliability measures such as failure rate and mean time between failures become inapplicable, and are not ideal for maintenance control management of shop floor manufacturing systems

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