基于役龄回退分析的电力设备检修决策方法研究
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国家自然科学基金资助项目(51867003);中国南方电网有限责任公司科技项目(GX2014-2-0025)


The equipment maintenance decision method based on the analysis of the age reduction
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    摘要:

    针对电力设备检修决策中难以兼顾成本和长期效益的问题,提出一种基于设备役龄回退分析的预测性检修决策方法。首先,基于设备现况计算检修前的故障率。其次,基于设备役龄回退分析方法预测检修后的故障率。然后,依据设备检修前后的故障率,分别计算检修前后的全生命周期成本变化量和检修方式的费效比。最后,分别按可靠性优先、经济性优先和费效比优先的原则遴选最佳检修策略。实例效果表明,文中建立的基于役龄回退分析的弹性周期和状态的检修决策优化算法,考虑了执行不同检修策略后的修复效能和设备状态等不确定因素,实现了符合长期效益的检修。

    Abstract:

    According to the maintenance cost and long-term benefits of electric equipment, a predictive maintenance decision method based on the service ageis proposed. Firstly, the failure rate is calculated before maintenance based on the equipment status. Secondly, the failure rate after overhauling is predicted based on equipment service age reduction. Thirdly, according to the failure rate, the degree of EENS, the change of LCC and the cost-effectiveness ratio of maintenance are calculated, respectively. Finally, the best maintenance plan is chosen on the basis of the principle of reliability priority, economy priority and cost-effectiveness priority. The results show that the decision-making algorithm of elastic period and elastic state based on the analysis of the age reductionconsidering uncertain factors such as repair efficiency and equipment status of different maintenance strategiesis in line with long-term benefits.

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张炜,王佳琳,张镱议,张玉波.基于役龄回退分析的电力设备检修决策方法研究[J].电力工程技术,2020,39(4):201-206

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历史
  • 收稿日期:2020-01-13
  • 最后修改日期:2020-02-17
  • 录用日期:2020-02-06
  • 在线发布日期: 2020-08-03
  • 出版日期: 2020-07-28