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A Decision-Making Method for System Selective Maintenance Oriented to Multiple Task Phases

A decision-making method and multi-task technology, which is applied in the field of system selective maintenance decision-making oriented to multi-task stages, and can solve problems such as unreasonable

Active Publication Date: 2019-12-31
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

There are N-1 maintenance intervals, and it is unreasonable to maintain all the components of the system during the maintenance interval

Method used

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  • A Decision-Making Method for System Selective Maintenance Oriented to Multiple Task Phases
  • A Decision-Making Method for System Selective Maintenance Oriented to Multiple Task Phases
  • A Decision-Making Method for System Selective Maintenance Oriented to Multiple Task Phases

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Experimental program
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Embodiment Construction

[0076] Attached below Figure 1-2 The present invention will be further elaborated with specific implementation, and a coal transmission system is taken as an example here.

[0077] The coal delivery system is used to power a combustion chamber. There are 5 subsystems in the system, and a total of 14 components are connected in series and parallel. Parts 1-3 make up the feeder 1 to send coal to the conveyor 1, parts 4-5 make up the conveyor 1 to send the coal to the stacker-reclaimer, and parts 6-8 make up the stacker-reclaimer to send the coal to Combustion furnace, parts 9-10 form the feeder 2 and are used to send coal to the conveyor 2, and parts 11-14 form the conveyor 2 to send the coal to the combustion chamber. All components are regarded as a unit, and the failure time obeys the Weibull distribution. The parameters of the Weibull distribution of each component and the maintenance cost ($1000) are shown in Table 1.

[0078] Table 1

[0079]

[0080] Each compone...

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Abstract

The invention discloses a multi-task-oriented system selective maintenance decision-making method, including: clarifying the state and service age of each component of the system at the beginning of each task; calculating the reliability of each component of the system in each task; calculating the reliability of each component in each task The probability of normal operation of each component of the system; calculate the probability of normal operation of the system in each task; take the task completion probability of each task in the system as the objective function, and the feasible set of limited maintenance resources as the constraint condition, the system components in each task The maintenance behavior is the decision variable, and the maintenance decision optimization model is established to solve the optimal maintenance strategy. The method of the present invention comprehensively considers the task time uncertainty and failure time uncertainty of the multi-task phase, and the system decision-maker can more reasonably and effectively allocate the limited maintenance resources to each maintenance interval to maximize the system's performance in each task. The probability of normal operation in .

Description

technical field [0001] The invention belongs to the field of equipment maintenance optimization management, and in particular relates to a system selective maintenance decision-making method oriented to multi-task phases. [0002] technical background [0003] Maintenance is a behavioral activity to restore or improve the performance of the system so that it can meet the requirements of subsequent tasks. In actual engineering, it is often necessary to study the optimization of maintenance decision-making under limited maintenance resources (such as: limited maintenance cycle, limited maintenance funds and maintenance personnel, etc.). Research on maintenance decision-making under limited maintenance resources is an important issue of common concern in academia and industry in recent years. The basic content of the research is to study how to rationally and effectively Optimal allocation of limited maintenance resources to each component of the system, so that the entire syst...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q10/00G06Q10/06
CPCG06Q10/06375G06Q10/20
Inventor 刘宇姜涛
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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