| 基于模糊输入的BP-ART2混合神经网络在电力变压器故障综合诊断中的应用 |
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| 引用本文： | 高如新,王福忠,冉正云.基于模糊输入的BP-ART2混合神经网络在电力变压器故障综合诊断中的应用[J].电力系统保护与控制,2004,32(5):15-18,69. |
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| 作者姓名： | 高如新 王福忠 冉正云 |
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| 作者单位： | 焦作工学院， 河南 焦作 454000 |
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| 基金项目： | 河南省攻关课题(0124140156) |
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| 摘 要： | 根据模糊理论和神经网络理论,提出了变压器故障诊断的新方法。根据DGA(dissolvedgasanalysis)法、电气试验法及外部故障特征法,建立了基于模糊输入的BP ART2混和神经网络对电力变压器故障进行综合诊断。仿真结果表明本方法能有效提高变压器故障诊断正确率。
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| 关 键 词： | 模糊控制 BP神经网络 ART2模型 故障诊断 电力变压器 |
| 文章编号： | 1003-4897(2004)05-0015-04 |
Application of BP-ART2 hybrid neural network for power transformer synthetic fault diagnosis based on fuzzy input |
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| GAO Ru-xin,WANG Fu-zhong,RAN Zheng-yun.Application of BP-ART2 hybrid neural network for power transformer synthetic fault diagnosis based on fuzzy input[J].Power System Protection and Control,2004,32(5):15-18,69. |
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| Authors: | GAO Ru-xin WANG Fu-zhong RAN Zheng-yun |
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| Abstract: | Based on fuzzy theory and neural network theory,a new method for power transformer fault diagnosis is introduced. According to methods of DGA, electrical experiment and environmental characteristics, a fuzzy input-based BP-ART2 model is presented. This model can deal with uncertain factors effectively and timely, and be of high ability to synthetic fault diagnosis of power transformer. |
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| Keywords: | fuzzy control BP neural network ART2 model fault diagnosis power transformer |
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