| 基于粒子群优化神经网络的高压断路器故障诊断 |
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| 引用本文： | 岳小斌,练刚. 基于粒子群优化神经网络的高压断路器故障诊断[J]. 电力学报, 2011, 26(1): 41-44,49 |
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| 作者姓名： | 岳小斌 练刚 |
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| 作者单位： | 1. 四川省电力公司超(特)高压运行检修公司成都中心,成都,610052
2. 四川南充电力设计有限公司,四川南充,637000 |
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| 摘 要： | 传统的反向传播神经网络训练算法存在学习速度慢,容易陷入局部最优值等弊端。将粒子群优化的神经网络用于高压断路器故障诊断中,根据高压断路器测试系统检测所得的实验数据,提取相应的特征向量,建立高压断路器故障诊断模型。仿真结果表明此方法简单、有效、精度高,与采用传统的反向传播神经网络的模型相比具有明显的优越性,为高压断路器故障诊断提供了有效的方法。
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| 关 键 词： | 高压断路器 故障诊断 粒子群 神经网络 |
High-voltage Circuit Breakers Fault Diagnosis Based on Particle Swarm Optimizer and Neural Network |
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| YUE Xiao-bin,LIAN Gang. High-voltage Circuit Breakers Fault Diagnosis Based on Particle Swarm Optimizer and Neural Network[J]. Journal of Electric Power, 2011, 26(1): 41-44,49 |
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| Authors: | YUE Xiao-bin LIAN Gang |
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| Affiliation: | YUE Xiao-bin1,LIAN Gang2(1.Sichuan Electric Power Corporation EXTRA(ULTRA) High Voltage Operation & Maintenance Company Chengdu Center,Chengdu 610052,China,2.Nanchong Power Design Co.Ltd.,Nanchong 637000,China) |
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| Abstract: | The traditional BP neural network training algorithm is slow in learning,easy to fall into local optimal value.Using the neural network based on particle swarm optimizer for high-voltage circuit breaker fault diagnosis.According to the experimental results of the high-voltage circuit breaker test system,extract some characteristic parameters,establishment the model of high-voltage circuit breaker fault diagnosis.The simulation results show that this method is simple,effective,and precision.Comparison with t... |
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| Keywords: | high-voltage circuit breakers fault diagnosis particle swarm optimizer neural network |
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