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基于BP神经网络的电力变压器故障树分析
引用本文:严莹,陈向民,王云,王何舟.基于BP神经网络的电力变压器故障树分析[J].供用电,2009,26(1):49-51,54.
作者姓名:严莹  陈向民  王云  王何舟
作者单位:1. 上海市电力公司沪南供电分公司,上海,200030
2. 浙江余杭供电所,浙江,杭州,311100
3. 上海市电力公司沪北供电分公司,上海,200072
4. 上海市电力公司市东供电公司,上海,200122
摘    要:针对电力变压器故障特点,采用故障树分析与BP神经网络相结合的方法预测变压器故障率。介绍了变压器故障树的建立与故障树分析流程、BP神经网络的建立、样本获取和学习训练。通过实例计算结果与实际统计结果的比较,验证了此方法的可行性与有效性。

关 键 词:变压器  故障树分析  BP神经网络

The Analysis of Transformer Fault Tree Based on BP Neural Network
YAN Ying,CHEN Xiangmin,WANG Yun,WANG Hezhou.The Analysis of Transformer Fault Tree Based on BP Neural Network[J].Distribution & Utilization,2009,26(1):49-51,54.
Authors:YAN Ying  CHEN Xiangmin  WANG Yun  WANG Hezhou
Affiliation:1.Hunan Power Supply Company of SMEPC;Shanghai 200030;Shanghai China;2.Yuhang Power Supply Branch;Hangzhou 311100;Zhejiang China;3.Hubei Power Supply Company of SMEPC;Shanghai 200072;4.Shinan Power Supply Company of SMEPC;Shanghai 200122;Shanghai China
Abstract:In connection with transformer fault features,the paper applies the method of combining fault tree analysis and BP neural network,to forecast transformer fault rate.The paper also introduces the establishment of transformer fault tree and analysis procedure,the establishment and learning train of BP neural network,sample acquisition.The comparison of the results between example calculation and real statistic proves that the proposed method is flexible and effective.
Keywords:transformer  fault tree analysis  BP neural network  
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