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基于贝叶斯网络的变压器故障诊断及重要度分析
引用本文:李贵涛,侯沛勇,任方宇,蔡志强,张文斌. 基于贝叶斯网络的变压器故障诊断及重要度分析[J]. 世界科技研究与发展, 2014, 0(5): 488-493
作者姓名:李贵涛  侯沛勇  任方宇  蔡志强  张文斌
作者单位:1. 西北工业大学机电学院,西安,710072
2. 云南电网电力研究院博士后工作站,昆明,650214
基金项目:国家自然科学基金,西北工业大学基础研究基金
摘    要:以云南电网公司提供的500 kV变压器历史运行数据为依据,利用贝叶斯网络和数据挖掘技术,结合变压器油中溶解气体分析的改良三比值法,针对500 kV变压器建立故障诊断模型,并对引起变压器故障的各影响因素进行重要度分析。最后,利用变压器实时运行数据进行试验,验证了模型的有效性和实用性。

关 键 词:贝叶斯网络  变压器  故障诊断  油中溶解气体分析

Diagnosis and Importance Analysis of Transformer Fault Based on Bayesian Network
LI Guitao,HOU Peiyong,REN Fangyu,CAI Zhiqiang,ZHANG Wenbin. Diagnosis and Importance Analysis of Transformer Fault Based on Bayesian Network[J]. World Sci-tech R & D, 2014, 0(5): 488-493
Authors:LI Guitao  HOU Peiyong  REN Fangyu  CAI Zhiqiang  ZHANG Wenbin
Affiliation:LI Guitao, HOU Peiyong, REN Fangyu, CAI Zhiqiang, ZHANG Wenbin ( 1. School of Mechatronics, Northwestern Polytechnical University, Xi'an 710072 ; 2. Post Doctoral Station ,Electric Power Research Institute of YNPG,Kunming 650214)
Abstract:Based on historical operating data of 500kV transformers provided by Yunnan Power Grid Corporation,a fault di-agnosis model for 500kV transformers was established,with the technology of Bayesian network and data mining.The theory of importance measure was also introduced to analyze the influence factors of transformer fault.Finally,the real -time oper-ating records of practical transformers were used to verify the effectiveness and usefulness of the proposed model.
Keywords:Bayesian Network  transformer  fault diagnosis  dissolved gas analysis
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