首页> 外文OA文献 >A condition-based opportunistic maintenance policy integrated with energy efficiency for two-component parallel systems
【2h】

A condition-based opportunistic maintenance policy integrated with energy efficiency for two-component parallel systems

机译:基于条件的机会维护策略,与两个组件并行系统的能效集成了

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

Purpose: In order to improve the energy utilization and achieve sustainable development, this paper integrates energy efficiency into condition-based maintenance(CBM) decision-making for two-component parallel systems. The objective is to obtain the optimal maintenance policy by minimizing total cost.Design/methodology/approach: Based on energy efficiency, the paper considers the economic dependence between the two components to take opportunistic maintenance. Specifically, the objective function consists of traditional maintenance cost and energy cost incurred by energy consumption of components. In order to assess the performance of the proposed new maintenance policy, the paper uses Monte-Carlo method to evaluate the total cost and find the optimal maintenance policy.Findings: Simulation results indicate that the new maintenance policy is superior to the classical condition-based opportunistic maintenance policy in terms of total economic costs.Originality/value: For two-component parallel systems, previous researches usually simply establish a condition-based opportunistic maintenance model based on real deterioration data, but ignore energy consumption, energy efficiency (EE) and their contributions of sustainable development. This paper creatively takes energy efficiency into condition-based maintenance(CBM) decision-making process, and proposes a new condition-based opportunistic maintenance policy by using energy efficiency indicator(EEI).
机译:目的:为了提高能源利用率和实现可持续发展,本文将能源效率集成为双组分并行系统的条件维护(CBM)决策。目标是通过最小化总成本来获得最佳维护政策.Design/Methodology/Approach:根据能源效率,本文考虑了两种组件之间的经济依赖性来实现机会维护。具体而言,客观函数包括传统的维护成本和通过能量消耗的能源成本。为了评估拟议的新维护策略的性能,本文使用Monte-Carlo方法来评估总成本并找到最佳维护策略.Findings:仿真结果表明,新的维护政策优于基于古典条件的在经济总成本方面的机会主义维护政策。对于双组分并行系统,以前的研究通常简单地建立基于实际恶化数据的条件的机会维护模型,但忽略了能量消耗,能源效率(EE)和他们对可持续发展的贡献。本文创造性地将能源效率提升为基于条件的维护(CBM)决策过程,并通过使用能效指标(EEI)提出了新的基于条件的机会主义维护政策。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号