基于故障树的电力变压器维修周期的仿真分析  

Simulation of Maintenance Period for Power Transformer based on Fault Tree

作　　者：刘娜[1] 高文胜[1] 谈克雄[1] 王刘芳[2] 李伟[2] 梁国栋[3] 

机构地区：[1]清华大学电机工程系,北京100084 [2]安徽省电力试验研究所,合肥230022 [3]安徽省电力公司,合肥2300613

出　　处：《高电压技术》2003年第9期19-21,共3页High Voltage Engineering

基　　金：国家自然科学基金资助重点项目 (5 963 72 0 0 )

摘　　要：针对变压器可靠性数据相对缺乏的特点 ,提出了一种依据设备基本部件的维修信息 ,运用 Monte- Carlo算法和故障树原理 ,根据任务可靠度来确定维修周期的仿真算法。这种依据局部维修信息来决策维修周期的方法适应设备的状态维修方式 ,是维修周期的决策的一种有效方法。The problem of selecting a suitable maintenance period is vital for preventive maintenance (PM) of power transformer. Considering the fact that transformer is void of reliability data, a simulation method used for making decision of maintenance period is presented in this paper. Maintenance period is determined by system mission reliability, based on the maintenance information from components of transformer, with the help of Monte Carlo simulation (MCS) and Fault Tree Analysis (FTA). The simulation, based on information from components but not the overall system, is suitable for Condition Based Maintenance (CBM), which provides the maintenance crew an effective tool for decision.

关 键 词：电力变压器 维修周期 仿真分析 故障树 预防性维修 

分 类 号：TM410.7[电气工程—电器]