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Research on Multiobjective Group Decision-Making in Condition-Based Maintenance for Transmission and Transformation Equipment Based on D-S Evidence Theory

机译:基于D-S证据理论的输变电设备状态维修多目标群决策研究

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摘要

Aiming at eliminating the current drawbacks that exists in condition-based maintenance (CBM) decision-making, such defects as single objective model, difficulty in controlling the process, and individual rather than group decision-making, this paper proposed a multiobjective group decision-making CBM model based on Dempster-Shafer (D-S) evidence theory by establishing maintenance decision-making framework, setting index system and quantifying all the indices. The model takes decision-making indices as evidence sources and maintenance schemes as knowledge framework, solving the problem of difficulty in demarcation of objectives and constraints. Maintenance schemes are achieved according to mean residual life prediction based on maintenance guidance and current condition quantified by health index to estimate the most appropriately maintenance interval. After that, standardized values of indices under each scheme are normalized into mass function of D-S evidence theory. Then, considering comprehensive weights of indices decision-makers, multiobjective group decision-making results of maintenance types, and time intervals are obtained. Finally, a numerical case is studied to illustrate the proposed modeling process, and demonstrates that the model can effectively realize multiobjective group decision-making, as well as considering the intentions of decision makers while all indices can reach global optimum.
机译:为了消除基于状态的维护(CBM)决策中存在的缺陷,例如单一目标模型,控制过程的困难以及个人而非小组决策等缺陷,本文提出了一种多目标小组决策-建立维护决策框架,建立指标体系,量化指标,建立基于DS证据理论的煤层气模型。该模型以决策指标为证据来源,维护方案为知识框架,解决了目标和约束划分困难的问题。根据平均剩余寿命预测(基于维护指南)和通过健康指标量化的当前状况来估计最合适的维护间隔,从而实现维护方案。之后,将每种方案下指标的标准化值归一化为D-S证据理论的质量函数。然后,综合考虑指标决策者的权重,得到维修类型和时间间隔的多目标群体决策结果。最后,通过数值算例对提出的建模过程进行了说明,表明该模型可以有效地实现多目标群体决策,并在所有指标均达到全局最优的同时考虑决策者的意图。

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