| 基于遗传算法优化的BP神经网络的变压器油中气体预测 |
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| 引用本文： | 张彼德,裴子春,袁宇春. 基于遗传算法优化的BP神经网络的变压器油中气体预测[J]. 西华大学学报(自然科学版), 2010, 29(2): 145-147 |
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| 作者姓名： | 张彼德 裴子春 袁宇春 |
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| 作者单位： | 西华大学电气信息学院,四川,成都 |
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| 基金项目： | 西华大学人才基金资助 |
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| 摘 要： | 对变压器的运行状态和潜伏性故障进行有效预测,可避免出现维修不足或过度维修。由于BP神经网络具有对初始值敏感、易陷入局部最小的缺点,因此,其预测精度不高。本文采用遗传算法(GA)优化的BP神经网络对变压器油中气体进行预测和分析,结果表明,所采用的方法可有效提高BP神经网络的预测精度。
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| 关 键 词： | 电力变压器 BP神经网络 遗传算法(GA) 预测 |
The Prediction of Gas-in-oil in a Transformer Based on BP Neural Network Optimized by Genetic Algorithm |
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| ZHANG Bi-de,PEI Zi-chun,YUAN Yu-chun. The Prediction of Gas-in-oil in a Transformer Based on BP Neural Network Optimized by Genetic Algorithm[J]. Journal of Xihua University(Natural Science Edition), 2010, 29(2): 145-147 |
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| Authors: | ZHANG Bi-de PEI Zi-chun YUAN Yu-chun |
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| Affiliation: | ZHANG Bi-de,PEI Zi-chun,YUAN Yu-chun(School of Electrical , Information,Xihua University,Chengdu 610039 China) |
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| Abstract: | It will avoid the shortage of maintenance or excessive maintenance that the operational status and the latent faults of a power transformer are effectively predicted.Because of being sensitive to the initial value and easily falling into local minimum,the values obtained from the prediction by BP neural network is not accurate enough.In this paper,BP neural network optimized by genetic algorithm(GA) is used to predict and analyze the gas-in-oil of a transformer.The result shows that the proposed approach ca... |
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| Keywords: | power transformer BP neural network genetic algorithm(GA) prediction |
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