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| 基于改进PSO-BP混合算法的电力变压器故障诊断 | |
| 引用本文： | 杨道武,李海如,向卫东,任卓,李哲文.基于改进PSO-BP混合算法的电力变压器故障诊断[J].电力科学与技术学报,2011,26(1):99-103. |
| 作者姓名： | 杨道武 李海如 向卫东 任卓 李哲文 |
| 作者单位： | 1. 长沙理工大学化学与生物工程学院,湖南长沙,410004 2. 长沙电业局,湖南,长沙,410015 3. 湖南省超高压输变电公司,湖南长沙,410100 |
| 基金项目： | 长沙市重点科技攻关项目 |
| 摘 要： | 采用粒子群算法和反向传播神经网络建立一种新型变压器故障诊断网络模型,设计故障诊断方法.仿真分析结果表明：基于该网络模型的诊断方法与传统的三比值法相比较,具有较好的故障识别与分类能力,显著提高了诊断准确率,将在电力设备故障诊断中有良好应用前景. |
| 关 键 词： | 变压器 故障诊断 粒子群算法 反向传播网络 |
Power transformer fault diagnosis based on improved PSO-BP hybrid algorithm |
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| YANG Dao-wu,LI Hai-ru,XIANG Wei-dong,REN Zhuo,LI Zhe-wen.Power transformer fault diagnosis based on improved PSO-BP hybrid algorithm[J].JOurnal of Electric Power Science And Technology,2011,26(1):99-103. | |
| Authors: | YANG Dao-wu LI Hai-ru XIANG Wei-dong REN Zhuo LI Zhe-wen |
| Affiliation: | 1.School of Chemistry and Biological Engineering,Changsha University of Science and Technology,Changsha 410004,China;2.Changsha Electric Power Supply Bureau,Changsha 410015,China3.Hunan Ultrahigh Voltage Power Transmission and Transformer Company,Changsha 410100,China) |
| Abstract: | A new network model and method are established for power transformers fault diagnosis in this paper.The Particle Swarm Optimization(PSO) technique is used to integrate with Back Propagation(BP) neural networks in this new network model.Compared with the conventional three-ratio method,the fault diagnosis method has better results for power transformers faults diagnosis and classification.Furthermore,the diagnostic accuracy is much improved.Simulation results demonstrate that this method has wide application prospects in the fault diagnosis of power equipments. |
| Keywords: | transformer fault diagnosis particle swarm optimization algorithm back-propagation network |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |
