| 以改进的BP神经网技术识别DGA分析变压器的故障原理 |
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| 引用本文： | 朱云峰,李大鹏. 以改进的BP神经网技术识别DGA分析变压器的故障原理[J]. 广东化工, 2013, 0(20): 58-58,32 |
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| 作者姓名： | 朱云峰 李大鹏 |
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| 作者单位： | 大庆钻探工程公司测井公司,黑龙江大庆163000 |
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| 摘 要： | 变压器是电力系统中的枢纽设备,其运行状态直接关系到系统的安全性。因此,排除变压器故障,让变压器正常工作,对电力系统尤为重要。变压器油中溶解气体分析(Dissolved Gas Analysis,DGA)是确定充油变压器故障的重要方法之一。文章以改进BP神经网原理为基础,采用DGA分析原理,为快速直观诊断变压器故障提出理论方法。
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| 关 键 词： | 变压器 故障 溶解气体分析 BP神经网 |
Research on Diagnosis DGA System Fault Theory for Transformer Based on improved B P Network |
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| Zhu Yunfeng,Li Dapeng. Research on Diagnosis DGA System Fault Theory for Transformer Based on improved B P Network[J]. Guangdong Chemical Industry, 2013, 0(20): 58-58,32 |
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| Authors: | Zhu Yunfeng Li Dapeng |
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| Affiliation: | (Wire line company of Daqing, Daqing 163000, China) |
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| Abstract: | Electric Power transformer is hinge electric equipment in electric system, it＇s move fettle direct affect safe of the system, so it is an important means obviate malfunction and work to system, Dissolved Gases Analysis is an important method to diagnose the fault of tansfonner, text based on improved B P network and DGA theory analysis, offers an theory method to directly find the faults in the transformer. |
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| Keywords: | electric power transformer malfunction dissolve gas analysis BP network |
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