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Group maintenance decision-making method based on system-level life service information

A system-level, maintenance strategy technology, applied in the direction of instruments, data processing applications, forecasting, etc., to achieve the effect of reducing costs

Active Publication Date: 2018-11-06
BEIHANG UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

In addition, for long-life and high-reliability products, their failures are due to degradation failures such as aging and wear, while traditional maintenance models are often based on failure rate functions.

Method used

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  • Group maintenance decision-making method based on system-level life service information
  • Group maintenance decision-making method based on system-level life service information
  • Group maintenance decision-making method based on system-level life service information

Examples

Experimental program
Comparison scheme
Effect test

Embodiment example

[0053] (1) Overview of simulation examples

[0054] Suppose a product G has image 3 The functional structures shown are related, in which subsystems C and F are connected in parallel, and A, B, D, and E are connected in series respectively. The product has two mission downtimes at 552h and 840h, that is, two maintenance opportunities, and is decommissioned after the working time reaches 1100h. The failure modes and associated costs of components A, B, E, and D are shown in the table below.

[0055] Table 1 Failure modes and related costs of each component

[0056]

[0057] (2) Model construction

[0058] According to the system reliability block diagram, the relationship between components can be established. It can be known that components A, B, D, and E are root nodes, subsystem CF is an intermediate node, and system G is a leaf node. Based on the series-parallel relationship between components and expert experience, the BN model can be established as Figure 4 show...

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Abstract

The invention discloses a group maintenance decision-making method based on system-level life service information, for solving the problem that the system-level reliability is omitted when the prior art uses part-level information to perform group maintenance decision making. The group maintenance decision-making method based on system-level life service information includes the steps: performingpart-level service life prediction and system-level service life prediction by means of the degeneration data of each part to obtain a system reliability assessment function; calculating the prevention maintenance time of each part by means of the part-level service life prediction information; performing grouping by means of a system task profile and the optimum prevention maintenance time of parts, and calculating the related cost; and finally aiming at the cost and the system reliability, obtaining the optimal strategy of system-level group maintenance by means of a multi-attribute value theory. The group maintenance decision-making method based on system-level life service information can guarantee high reliability and task success rate of the system as the group maintenance decision-making method based on system-level life service information considers the group maintenance cost and combines the system-level service life prediction information. The group maintenance decision-making method based on system-level life service information is suitable for the group maintenance decision making of a product with complicated structure and high reliability.

Description

technical field [0001] The invention relates to a grouped maintenance decision-making method based on life prediction model, maintenance grouping and multi-objective planning for degradation data of multi-level systems with complex structures, and belongs to the technical field of maintenance decision-making. Background technique [0002] In order to ensure that the system completes a series of tasks within the specified time, certain maintenance and repair work is required to ensure system safety and task success, and reduce losses caused by failures. Therefore, it is a research hotspot in recent years to carry out an appropriate maintenance strategy to ensure that the system has high performance and low cost during its lifetime. For system-level maintenance strategies, most studies tend to tend to opportunity maintenance and group maintenance. Many techniques, such as stochastic processes, optimization algorithms, model theory, etc., are widely used and discussed in the s...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q10/00
CPCG06Q10/04G06Q10/20
Inventor 王晓红王立志张源孙玉胜郭洪洲
Owner BEIHANG UNIV
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