| 基于混沌神经网络的供配电系统故障诊断 |
| |
| 引用本文： | 吴凡,张志利,颜宁. 基于混沌神经网络的供配电系统故障诊断[J]. 兵工自动化, 2005, 24(2): 55-56,62 |
| |
| 作者姓名： | 吴凡 张志利 颜宁 |
| |
| 作者单位： | 第二炮兵工程学院,陕西,西安,710025;第二炮兵装备研究院,北京,100085 |
| |
| 摘 要： | 基于混沌神经网络的供配电系统故障诊断,采用引入动量项和混沌映射的改进BP算法.先分析系统典型故障,建立典型网络模型.在BP算法中加入动量项和混沌映射,选择神经网络初值.再进行学习训练,分别给训练后的子网络输入现场采集的装备数据,通过网络直接获得故障诊断结果.
|
| 关 键 词： | 混沌 神经网络 供配电系统 故障诊断 |
| 文章编号： | 1006-1576(2005)02-0055-02 |
Fault Diagnosis of Power Supply Based on Chaotic Neural Network |
| |
| WU Fan,ZHANG Zhi-li,YAN Ning. Fault Diagnosis of Power Supply Based on Chaotic Neural Network[J]. Ordnance Industry Automation, 2005, 24(2): 55-56,62 |
| |
| Authors: | WU Fan ZHANG Zhi-li YAN Ning |
| |
| Abstract: | The improved BP algorithm added momentum item and chaotic mapping was adopted in fault diagnosis of power supply system based on chaotic neural network. At first, the typical fault of the system was analyzed, and the typical network model was established. The momentum item and chaotic mapping was added into BP algorithm, and the initial value of the network was selected. The network was learned and trained using improved BP algorithm, the data of device gathered in field was inputted into trained sub-network respectively. Fault diagnosis results are directly achieved through the network. |
| |
| Keywords: | Chaos Neural network Power supply system Fault diagnosis |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
|
