• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Reliability Engineering & System Safety >The use of real option in condition-based maintenance scheduling for wind turbines with production and deterioration uncertainties
【24h】

The use of real option in condition-based maintenance scheduling for wind turbines with production and deterioration uncertainties

机译：实物期权在具有生产和恶化不确定性的风力发电机的基于状态的维护计划中的使用

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Preventive maintenance planning is an important problem for the handling of energy production systems with high down time costs. Throughout the last decade different maintenance strategies have been developed and optimized in order to minimize operational and maintenance costs whilst conserving and improving the system reliability and productivity. Preventive maintenance strategies are usually based on the monitoring and the prediction of the system behavior and its deterioration process. However, some industrial systems may be operating under a dynamic environment and/or variable working conditions. In this case both the deterioration and the production processes may not be deterministic and incorporate different types of uncertainties. In this paper, we consider the case of a preventive maintenance strategy for a production system subject to uncertainty. For this system, a decision-making procedure for condition-based maintenance planning is proposed. In order to consider uncertainty in production and deterioration processes, these latter are modeled by non-monotonic stochastic processes. The modeling of deterioration processes by means of jump-diffusion stochastic processes has been proposed in our previous work. In this paper, a decision-making approach for preventive maintenance strategies is proposed. Knowing the remaining useful life of a system, a simulation-based real options analysis is used in order to determine the best date to maintain. Considering a case study of a wind turbine with PHM structure, the decision-making approach is described and tested through an empirical example. (C) 2017 Elsevier Ltd. All rights reserved.
机译：预防性维护计划是处理停机时间成本高的能源生产系统的重要问题。在过去的十年中，已经开发并优化了不同的维护策略，以最大程度地降低运营和维护成本，同时又能保持并提高系统的可靠性和生产率。预防性维护策略通常基于对系统行为及其恶化过程的监视和预测。但是，某些工业系统可能在动态环境和/或变化的工作条件下运行。在这种情况下，恶化和生产过程可能都不是确定性的，并且会包含不同类型的不确定性。在本文中，我们考虑了存在不确定性的生产系统的预防性维护策略。对于该系统，提出了基于状态的维护计划的决策程序。为了考虑生产和恶化过程中的不确定性，通过非单调随机过程对后者进行建模。在我们以前的工作中已经提出了利用跳跃扩散随机过程对退化过程进行建模的方法。本文提出了一种预防性维护策略的决策方法。知道了系统的剩余使用寿命，可以使用基于仿真的实物期权分析来确定最佳维护日期。考虑到具有PHM结构的风力发电机的案例研究，该决策方法通过一个经验示例进行了描述和测试。 （C）2017 Elsevier Ltd.保留所有权利。

著录项

  • 来源
    《Reliability Engineering & System Safety》 |2019年第8期|614-623|共10页
  • 作者

    Ghamlouch Houda; Fouladirad Mitra; Grail Antoine;

  • 作者单位

    Univ Technol Troyes, Charles Delaunay Inst, CNRS, UMR 6281, 12 Rue Marie Curie, F-10004 Troyes, France;

    Univ Technol Troyes, Charles Delaunay Inst, CNRS, UMR 6281, 12 Rue Marie Curie, F-10004 Troyes, France;

    Univ Technol Troyes, Charles Delaunay Inst, CNRS, UMR 6281, 12 Rue Marie Curie, F-10004 Troyes, France;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

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