南方电网技术2011，Vol.5Issue(1)：70-73,4.
基于模糊TOPSIS和BP网络的电力变压器故障诊断方法
Fuzzy TOPSIS and BPANN Based Fault Diagnosis Method for Power Transformer
兰华 1郑广瑞 1廖志民1
作者信息
- 1. 东北电力大学电气工程学院,吉林,吉林,132012
- 折叠
摘要
Abstract
Aiming at the problem of diagnosing the structure of model and collecting the data of failure sample being very complicated in the traditional diagnosis technology, this paper extendes the method of TOPSIS on vague sets. The basic concepts of vague sets, similarity measurement and the usage of semanteme variable set expressed by vague value are introduced. Hereby the original sample data can be distinguished and clustered so to reduce the quantity of sample data enough to somehow balance the fault feature information and the mapping space complexity. Furthermore, a BP neural diagnosing network is constructed for diagnosis of all kinds of transformer faults.The cases analysis indicate that the proposed method has obvious advantage than the conventional diagnosis methods for transformer faults.关键词
DGA/模糊理论/TOPSIS/变压器/故障诊断Key words
DGA/ fuzzy theory/ TOPSIS/ transformer/ fault diagnosis分类
信息技术与安全科学引用本文复制引用
兰华,郑广瑞,廖志民..基于模糊TOPSIS和BP网络的电力变压器故障诊断方法[J].南方电网技术,2011,5(1):70-73,4.
