| 基于BP神经网络的变压器故障诊断 |
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| 引用本文： | 朱浪,王蕾,潘丰.基于BP神经网络的变压器故障诊断[J].江南大学学报(自然科学版),2012,11(3):262-266. |
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| 作者姓名： | 朱浪 王蕾 潘丰 |
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| 作者单位： | 江南大学轻工过程先进控制教育部重点实验室,江苏无锡,214122 |
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| 基金项目： | 国家863计划项目，江苏高校优势学科建设项目 |
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| 摘 要： | 针对变压器故障类型的特征,结合油中气体分析法及三比值法,应用BP神经网络对变压器进行故障诊断。根据BP神经网络的概念、结构和算法原理,探讨了不同隐含层的神经元个数对神经网络训练性能的影响。通过对仿真结果的分析与测试,结果表明BP神经网络对变压器故障诊断具有较好的应用效果。
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| 关 键 词： | 故障诊断 BP网络 变压器 |
Fault Diagnosis of Transformer Based on BP Neural Network |
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| ZHU Lang
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WANG Lei
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PAN Feng.Fault Diagnosis of Transformer Based on BP Neural Network[J].Journal of Southern Yangtze University:Natural Science Edition,2012,11(3):262-266. |
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| Authors: | ZHU Lang WANG Lei PAN Feng |
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| Institution: | (Key Laboratory of Advanced Process Control for Light Industry,Ministry of Education,Jiangnan University,Wuxi 214122,China) |
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| Abstract: | According to the characteristics of fault types of the transformer,BP neural network is used to diagnose transformer fault with the data of dissolved gas analysis and the 3 ratio method.This paper described the concept,structure and algorithm of BP neural network in details.The number of neurons in hidden layer has a great effect on training performance.Through the analysis and test of the simulation results,BP neural network has better application effect. |
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| Keywords: | fault diagnosis BP network transformer |
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