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论文摘要

敏感设备电压暂降失效后果状态格序化评估

Lattice Order Decision-making Based Evaluation Method of Sensitive Equipment Failure Caused by Voltage Sag

作者:汪颖(四川大学 电气信息学院);杨达(四川大学 电气信息学院);刘旭娜(四川大学 电气信息学院);陈礼频(四川大学 电气信息学院);肖先勇(四川大学 电气信息学院)

Author:Wang Ying(School of Electrical Eng. and Info.,Sichuan Univ.);Yang Da(School of Electrical Eng. and Info.,Sichuan Univ.);Liu Xuna(School of Electrical Eng. and Info.,Sichuan Univ.);Chen Lipin(School of Electrical Eng. and Info.,Sichuan Univ.);Xiao Xianyong(School of Electrical Eng. and Info.,Sichuan Univ.)

收稿日期:2012-11-06          年卷(期)页码:2013,45(3):120-126

期刊名称:工程科学与技术

Journal Name:Advanced Engineering Sciences

关键字:电压暂降;设备失效;多值映射;格序化;可能度矩阵;样本依赖性

Key words:voltage sag;equipment failure;multi-valued mapping;lattice ordered;possibility degree matrix;sample dependence

基金项目:国家自然科学基金资助项目(50877049);国家“863”计划子课题资助项目(2012AA050216);四川省科技支撑计划资助项目(2013GZ0062)

中文摘要

为评估敏感设备经历电压暂降后的最可能故障状态,提出一种格序化方法。从设备电压暂降多值映射后果状态的物理属性出发,提出多值映射后果状态刻画方法,用各后果状态的上、下概率构成的区间数刻画设备状态,各可能状态构成格。引入可能度概念,用可能度矩阵对不满足连通性的后果状态进行比较,确定最可能状态。仿真结果与实测结果表明,提出的方法不仅能准确评估最可能结果,还能给出其它可能结果的排序,对样本的依赖性小,工程应用价值明显。

英文摘要

To evaluate the most possible failure state of sensitive equipment when they encounter voltage sags,a lattice order based method was studied.Starting with the physical nature of equipment multi-valued mapping outcome due to voltage sag,a multi-valued mapping based outcome state describing method was proposed.Interval numbers which possess the characteristics of lattice order with the upper and lower probabilities of each outcome state as two endpoints were used to describe equipment state,and then the outcome states of decision-making problem could be lattice ordered.The possibility degree concept was introduced,and the possibility degree matrices were used to compare outcome states which don’t satisfy connectedness axioms and the most possible outcome state could be obtained.Comparing the simulation result with actual testing result showed that the proposed method can objectively reflect equipment failure state and quantitatively determine the most possible state.The method is accurate,less-sample-dependent and be of great engineering application significance.

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