高电压技术2009，Vol.35Issue(3)：514-520,7.
基于粒子群优化支持向量机的变压器故障诊断
Assessment Method for the Reliability of Power Transformer Based on Fault-tree Analysis
摘要
Abstract
Accurate assessment of system reliability with limited or insufficient statistical data is difficult. At present, to assess the reliability of the transformers primarily depend on the statistics data, and the result of the assessment does not accurately reflect the reliability of a transformer. Fault tree is a powerful tool for depicting the logical relationships between the faults system. However, for a sophisticated reliability system, like power transformer,fault analysis is hard or infeasible because of the complexities of the equipment configuration and its faults. This paper presents a method which overcomes the drawbacks of traditional fault-tree analysis (FTA) by using FTA based on fault probability and equivalent calculation of each failure mode. Based on the further analysis of typical failure modes and influences of power transformer, the fault-tree of transformer is set up by using FTA techniques and the assessment method for the reliability of transformer is put forward, combined with the index of the importance and the method of improved analytic hierarchy process(IAHP). The assessment examples show the method can deduct the failure modes of transformer clearly, meanwhile, find out the weaknesses in time during the operation and get better assessment results. The method is helpful for the reliability analysis of a sophisticated system.关键词
transformer/reliability assessment/fault-tree analysis (FTA)/failure mode and effect analysis (FMEA)/reliability/tap-changer/improved analytic hierarchy process(IAHP)Key words
transformer/reliability assessment/fault-tree analysis (FTA)/failure mode and effect analysis (FMEA)/reliability/tap-changer/improved analytic hierarchy process(IAHP)分类
信息技术与安全科学引用本文复制引用
费胜巍,苗玉彬,刘成良..基于粒子群优化支持向量机的变压器故障诊断[J].高电压技术,2009,35(3):514-520,7.基金项目
Project Supported by Natural Science Foundation of Chongqing(CSTC. 2008BC3026). （CSTC. 2008BC3026）
