基于灰色关联度和理想解法的电力设备状态维修策略  

Research on condition-based maintenance policy of electric power equipment based on grey correlation degree and TOPSIS

作　　者：杨良军[1] 熊小伏[1] 张媛[1] 

机构地区：[1]重庆大学高电压与电工新技术教育部重点实验室,重庆400044

出　　处：《电力系统保护与控制》2009年第18期74-78,共5页Power System Protection and Control

摘　　要：提出了基于灰色关联度和理想解法TOPSIS(Technique for Order Preference by Similarity to Ideal Solution)的电力设备状态维修策略决策方法。通过综合分析,在兼顾安全性和经济性的基础上,选用维修所需技术水平、维修风险、维修对生产的影响、故障对安全的危害、综合费用以及维修效果6个决策指标对某一电力变压器状态维修方案的决策过程进行了分析,并具体探讨了该决策方法在状态维修决策中的应用,结果表明本方法是可行的。The grey correlation degree and TOPSIS decision-making method to condition-based maintenance of electric power equipment is proposed. By synthetically analysis based on safety and economy, six decision targets such as the needed technology level, maintenance risk, maintenance impact to production, the harm of fault to safety, integrated cost and maintenance effect are selected to analyze the decision process of a certain condition-based maintenance of power transformer, the detailed application of grey correlation degree and TOPSIS decision-making method to condition-based maintenance is discussed. The conclusion proves that grey correlation degree and TOPSIS decision-making method to condition-based maintenance of electric power equipment is feasible

关 键 词：电力设备 状态维修策略 电力变压器 灰色关联度 理想解法 

分 类 号：TM732[电气工程—电力系统及自动化]