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Multi-component system group maintenance decision method and multi-component system group maintenance decision device based on prediction

A decision-making method and multi-component technology, applied in forecasting, instrumentation, data processing applications, etc., can solve problems that affect system operation, easily increase downtime, losses, etc., and achieve the effect of reducing downtime, reducing losses, and saving maintenance costs

Inactive Publication Date: 2016-08-03
TAIYUAN UNIVERSITY OF SCIENCE AND TECHNOLOGY
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Problems solved by technology

However, the existing methods tend to increase the downtime, and may cause the less damaged single components to be repaired, while the more damaged ones are not repaired but single components are scrapped, which affects the operation of the system and causes losses

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  • Multi-component system group maintenance decision method and multi-component system group maintenance decision device based on prediction
  • Multi-component system group maintenance decision method and multi-component system group maintenance decision device based on prediction
  • Multi-component system group maintenance decision method and multi-component system group maintenance decision device based on prediction

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Embodiment Construction

[0011] The technical solutions of the present invention will be further described in more detail below in conjunction with specific embodiments. Apparently, the described embodiments are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0012] Modern large-scale equipment is developing towards automatic control, electromechanical integration, and high-power multi-function. The entire system is becoming more and more complex. The optimal performance of a single component cannot ensure the optimal performance of the entire system. The correlation between components makes the maintenance modeling and optimization of multi-component systems much more complicated than that of single-component systems. On the other hand, these dependencies provide th...

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Abstract

The invention discloses a multi-component system group maintenance decision method and a multi-component system group maintenance decision device based on prediction. The method comprises the following steps: predicting the residue life of single components at a monitoring time point, and calculating the single-component optimal maintenance time; setting a time window with each monitoring time point as the starting time point and the maintenance preparation duration as the time length, and calculating the single-component optimal maintenance time falling into the time range of the time window; building a penalty function, and acquiring a maintenance group structure with minimum penalty function value and the maintenance group optimal maintenance time according to the calculated single-component optimal maintenance time falling into the time window for each monitoring time point; grouping-maintaining the single components in the maintenance group structure; and after maintenance, continuing acquiring the single-component optimal maintenance time, and so on. According to the invention, the most saving group maintenance mode for maintenance of a multi-component system can be decided according to the predicted single-component residue life, so that the maintenance cost is saved, the downtime is reduced, and the loss is reduced.

Description

technical field [0001] The invention relates to the field of maintenance decision-making, in particular to a method and device for group maintenance decision-making of multi-component systems based on prediction. Background technique [0002] Modern large-scale equipment is developing towards automatic control, electromechanical integration, and high-power multi-function. The entire system is becoming more and more complex. The optimal performance of a single component cannot ensure the optimal performance of the entire system. The correlation between components makes the maintenance modeling and optimization of multi-component systems much more complicated than that of single-component systems. And these dependencies provide the possibility for joint maintenance of multiple components, which can reduce downtime and save maintenance costs. [0003] In the prior art, the maintenance methods for each component of a multi-component system are divided into two categories, one i...

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Application Information

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IPC IPC(8): G06Q10/00G06Q10/04
CPCG06Q10/04G06Q10/20
Inventor 石慧杨勇董增寿曾建潮王钢飞
Owner TAIYUAN UNIVERSITY OF SCIENCE AND TECHNOLOGY
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