A maintenance method and system for multi-component equipment

Abstract

The invention belongs to the technical field related to equipment maintenance, and discloses a maintenance method and a system of a multi-component equipment. The method comprises the following steps:(1) collecting condition monitoring data of each component when the equipment is running and initial condition monitoring data after each maintenance, and establishing operation and maintenance records of the equipment; (2) The stochastic degradation model and the stochastic maintenance quality model of each part of the equipment are established based on the operation and maintenance records respectively, and the maintenance optimization model of the equipment is established based on all stochastic degradation models, the stochastic maintenance quality model and the selected optimization index; (3) Based on the maintenance optimization model, the optimal abnormal point threshold, the optimal failure threshold and the optimal monitoring interval are solved, and then the equipment is monitored periodically according to the optimal monitoring interval. At the same time, the equipment is maintained according to the optimal abnormal point threshold and the optimal failure threshold. The invention effectively improves the operation economy of the equipment and the service life of the equipment, has strong applicability and high flexibility.

Description

technical field [0001] The invention belongs to the technical field related to equipment maintenance, and more specifically relates to a maintenance method and system for multi-component equipment. Background technique [0002] With the development of industrial modernization, the application of large and complex equipment is becoming more and more extensive. Large and complex equipment is often a multi-component system including various subsystems, functional components and parts. Each subsystem, functional components and parts are not only structural and functional There are differences, and there are various dependencies, which complicate maintenance decisions for large and complex equipment. [0003] With the rapid development of advanced monitoring, diagnosis and prediction technologies, people pay more and more attention to condition-based maintenance (Condition-Based Maintenance, CBM), which has become an important way to reduce the risk of equipment failure and opera...

AI Technical Summary

Problems solved by technology

Since the existing CBM maintenance decision-making method is usually only for the failure delay stage, and the critical level is determined based on experience or software simulation, it is usually conservative, resulting in frequent maintenance activities, increasing downtime losses and maintenance costs

In addition, the condition level of equipment is also affected by maintenance activities and maintenance intervals, rather than the actual maintenance effect of perfect maintenance, which is often random

Therefore, after the equipment is maintained, its status level will change randomly with the change of the maintenance effect, and then affect the subsequent maintenance method

Due to various dependencies in multi-component systems, the existing CBM maintenance decision-making methods for single-component systems do not take into account the dependencies of multiple components and the uncertainty of maintenance effects, and cannot be directly applied to multi-component systems.

[0004] To sum up, in actual engineering, the application of existing CBM maintenance decision-making methods is greatly limited. For the maintenance decision-making problem of complex multi-component systems with a large number of components or other factors that need to be considered at the same time, there are currently no lack of effective solutions

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