基于证据推理和FMEA的电厂设备最佳维修策略选择

Y.L. Dong, Y.J. Gu, X. Dong
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引用次数: 11

摘要

针对电厂设备最佳维修策略难以选择的问题,提出了一种基于临界性评估和失效模式特征分析的方法。该方法充分考虑了关键评价因素的不确定性和不完全性,在构建关键评价多属性决策树的基础上,综合了定性和定量证据,提出了关键评价因素的获取和转化方法。在此基础上,建立了决策树临界度评价模型,推导了相应的证据推理算法,并对电厂设备进行了临界度排序。综合临界性评价和失效模式与影响分析(FMEA)的结果,建立了电厂设备最佳维修策略选择的决策模型,并在某火电厂进行了应用。实例表明,该方法是可行和有效的,可以为电厂设备选择最优维修策略。
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Selection of optimum maintenance strategy for power plant equipment based on evidential reasoning and FMEA
Aiming at the problem that it is difficult to select optimum maintenance strategy for power plant equipment, a method based on criticality evaluation and failure mode characteristic analysis is put forward. In the method, the uncertainty and incompletion of criticality evaluation factors are completely considered, qualitative and quantitative evidences are integrated and their acquisition and transformation method is put forward based on constructing criticality evaluation multiple-attribute decision tree. Then a decision tree criticality evaluation model is established, a corresponding evidential reasoning algorithm is deduced, and the equipment in power plant is ranked by criticality. Integrating the results of criticality evaluation and failure mode and effect analysis (FMEA), the decision model of selecting optimum maintenance strategy of power plant equipment is established and applied in a fossil-fired power station. It is shown by the instance that this method is feasible and effective, can select optimum maintenance strategy for power plant equipment.
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