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A Search Algorithm for Replacement Strategy of Multi-life Parts Considering Structural Correlation

A strategy search and correlation technology, applied in the direction of calculation, complex mathematical operations, data processing applications, etc., can solve the problem of not considering the impact of the maintenance cost of the unit where the life parts are located

Active Publication Date: 2019-12-31
山东天蓝信息科技有限责任公司
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Problems solved by technology

The current research believes that no matter which life part is replaced, the fixed maintenance cost is the same, and the impact of the unit where the life part is located on the maintenance cost is not considered

Method used

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  • A Search Algorithm for Replacement Strategy of Multi-life Parts Considering Structural Correlation
  • A Search Algorithm for Replacement Strategy of Multi-life Parts Considering Structural Correlation
  • A Search Algorithm for Replacement Strategy of Multi-life Parts Considering Structural Correlation

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Embodiment Construction

[0056] The present invention will be further described below in conjunction with the accompanying drawings.

[0057] The present invention comprehensively considers the structural correlation and economic correlation between multi-life parts, and proposes a multi-life part replacement strategy search algorithm considering structural correlation, which specifically includes the following contents:

[0058] First, an optimization model for the replacement problem of multi-life parts is established, considering that the total life of the engine is T lim , including the chance replacement problem of p(p≥1) units and n(n≥p) life parts. Denote the fixed maintenance cost of the engine as c b,0 , which is independent of the number of life parts replaced. Denote the kth unit body of the engine as M k(k=1,2···,p), which contains n k lifetime parts, then Its assembly and disassembly cost is c b,k . remember for M k the ith k (i k =1,2···n k ) pieces of life, whose life is l...

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Abstract

The present invention relates to the technical field of aero-engine maintenance, in particular to a multi-life part replacement strategy search algorithm considering structural correlation, based on comprehensive consideration of the economic and structural The minimum total cost of life parts replacement within the life cycle is the optimization goal, and an optimization model for the chance replacement problem of multi-life parts is established; according to the characteristics of the optimization model, four model solution space reduction rules are proposed, and based on the proposed rules, a reduction-based Simple rule search algorithm, which can obtain the optimal solution of the model. Finally, the proposed algorithm is evaluated and verified by numerical experiments and application cases. The results show that the proposed algorithm can accurately solve the problem of replacement of small-scale multi-life parts.

Description

Technical field: [0001] The invention relates to the technical field of aero-engine maintenance, in particular to a search algorithm for replacement strategy of multi-life parts considering structure correlation. Background technique: [0002] Aeroengines are complex equipment with high safety requirements, and the maintenance cost is very high. Among them, the replacement cost of life parts is an important part of the engine maintenance cost. Taking the CFM56-5B engine as an example, the cost of replacing a full set of life parts is about 2.6 million US dollars. Life parts are parts in the engine that have a mandatory life limit. During the operation of the engine, the service life of the life parts is not allowed to exceed its life limit, and must be replaced before reaching the life limit. Due to the differences in the materials, structures, and working conditions of each life part, the life limit of each life part varies greatly. For example, the life of the supercha...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F17/10G06Q10/04G06Q10/00
CPCG06Q10/04G06Q10/20G16Z99/00
Inventor 付旭云钟诗胜张永健林琳王琳
Owner 山东天蓝信息科技有限责任公司
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