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selective maintenance problem for series–parallel system under economic dependence

Defence Technology（防务技术） 2016年第5期12卷 388-400页

作者： Qing-zheng XU Le-meng GUO He-ping SHI Na WANG Department of Information Service Xi’an Communications Institute Department of Basic Courses Xi’an Communications Institute

In view of the high complexity of the objective world, an economic dependence between subsystems(paired and unpaired) is proposed, and then the maintenance cost and time under different economic dependences are formulated in a simple and consistent manner. selective maintenance problem under economic dependence(EDSMP) is presented based on a series–parallel system in this paper. A case study shows that the system reliability is promoted to a certain extent, which can validate the validity of the EDSMP model. The influence of the ratio of set-up cost on system performance is mainly discussed under different economic dependences. Several existing improvements of classical exhaust algorithm are further modified to solve a large sized EDSMP rapidly. Experimental results illustrate that these improvements can reduce CPU time *** the contribution of each improvement is defined here, and then their contributions are compared thoroughly.

关键词： selective maintenance Economic dependence Series–parallel system Exhaust algorithm

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A Multi-Level selective maintenance Strategy Combined to Data Mining Approach for Multi-Component System Subject to Propagated Failures

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Journal of Systems Science and Systems Engineering 2022年第3期31卷 313-337页

作者： Mohamed Ali Kammoun Zied Hajej Nidhal Rezg Universite de Lorraine LGIPMF-57000 MetzFrance Ecole poly technique du Groupe Honoris United Universities-Tunisia

In several industrial fields like air transport,energy industry and military domain,maintenance actions are carried out during downtimes in order to maintain the reliability and availability of production *** such a circumstance,selective maintenance strategy is considered the reliable solution for selecting the faulty components to achieve the next mission without *** this paper,a novel multi-level decision making approach based on data mining techniques is investigated to determine an optimal selective maintenance *** the first-level,the age acceleration factor and its impact on the component nominal age are used to establish the local *** first decision making employed K-means clustering algorithm that exploited the historical maintenance *** on the first-level intervention plan,the remaining-levels identify the stochastic dependence among components by relying upon Apriori association rules algorithm,which allows to discover of the failure occurrence *** addition,at each decision making level,an optimization model combined to a set of exclusion rules are called to supply the optimal selective maintenance plan within a reasonable time,minimizing the total maintenance cost under a required reliability *** illustrate the robustness of the proposed strategy,numerical examples and a FMS real study case have been solved.

关键词： selective maintenance stochastic dependence age acceleration factor data mining flexible manufacturing system

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Recent Advances in selective maintenance from 1998 to 2014

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Journal of Donghua University(English Edition) 2015年第6期32卷 986-994页

作者：徐庆征郭乐勐王娜费蓉 Xi'an Communications Institute School of Computer Science and Engineering Xi'an University of Technology

The selective maintenance is a new branch and significant breakthrough of reliability and maintenance *** the original selective maintenance problem,a subset of maintenance activities is performed on selected components during the finite break so that the system is able to maximize the next mission *** is a fast growing research field over the past ten years,in which a variety of mathematical models and solution methodology have been proposed for dealing with more complex and significant *** overview of some recent advances in selective maintenance modeling and treatment methods is provided in this paper.A number of challenges that can be undertaken to help move the field forward are also discussed according to the current state of the selective maintenance approach.

关键词： selective maintenance mathematical model solution methodology reliability preventive maintenance maintenance resource

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maintenance decision-making method for manufacturing system based on cost and arithmetic reduction of intensity model

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Journal of Central South University 2013年第6期20卷 1559-1571页

作者：刘繁茂朱海平刘伯兴 Hunan Provincial Key Laboratory of Mechanical Equipment Health maintenance Hunan University of Science and Technology State Key Laboratory of Digital Manufacturing Equipment & Technology(Huazhong University of Science and Technology)

A cost-based selective maintenance decision-making method was *** purpose of this method was to find an optimal choice of maintenance actions to be performed on a selected group of machines for manufacturing *** arithmetic reduction of intensity model was introduced to describe the influence on machine failure intensity by different maintenance actions (preventive maintenance,minimal repair and overhaul).In the meantime,a resolution algorithm combining the greedy heuristic rules with genetic algorithm was ***,a case study of the maintenance decision-making problem of automobile workshop was ***,the case study demonstrates the practicability of this method.

关键词： selective maintenance preventive maintenance arithmetic reduction of intensity model hybrid genetic algorithm

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