| 基于贝叶斯网络和DGA的变压器故障诊断 |
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| 引用本文： | 王永强,律方成,李和明. 基于贝叶斯网络和DGA的变压器故障诊断[J]. 高电压技术, 2004, 30(5): 12-13,36 |
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| 作者姓名： | 王永强 律方成 李和明 |
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| 作者单位： | 华北电力大学电气工程学院,保定,071003;华北电力大学电气工程学院,保定,071003;华北电力大学电气工程学院,保定,071003 |
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| 基金项目： | 华北电力大学青年教师科研基金资助项目 (QN0 3 0 10 0 1) |
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| 摘 要： | 用 3步法构造贝叶斯网络 (BN)方法 ,结合油中溶解气体分析 (DGA)的三比值法后 ,引入大型变压器的故障诊断 ,提出了基于BN理论和DGA方法的变压器智能故障诊断模型。 2 2台故障变压器的诊断实例验证此法有效
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| 关 键 词： | 变压器故障诊断贝叶斯网络油中溶解气体 |
INTELLIGENT FAULT DIAGNOSIS FOR POWER TRANSFORMER BASED ON BAYESIAN NETWORK AND DGA |
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| Wang Yongqiang,Lu Fangcheng,Li Heming. INTELLIGENT FAULT DIAGNOSIS FOR POWER TRANSFORMER BASED ON BAYESIAN NETWORK AND DGA[J]. High Voltage Engineering, 2004, 30(5): 12-13,36 |
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| Authors: | Wang Yongqiang Lu Fangcheng Li Heming |
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| Affiliation: | (School of Electrical Engineering, North China Electric Power University, Baoding 071003, China) |
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| Abstract: | This paper presents a new transformer fault diagnosis method based on Bayesian network (BN) and dissolved gas analysis (DGA) technique. It constructs the transformer fault diagnosis model based on BN and DGA. Finally, the application examples in the fault diagnosis of transformer are given which shows that this method is effective. |
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| Keywords: | transformer fault diagnosis Bayesian network Dissolved gases in oil |
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