| 粒子群-神经网络混合算法在三相整流电路故障诊断中的应用 |
| |
| 引用本文： | 蔡金錠,付中云.粒子群-神经网络混合算法在三相整流电路故障诊断中的应用[J].电工电能新技术,2006,25(4):23-26. |
| |
| 作者姓名： | 蔡金錠 付中云 |
| |
| 作者单位： | 福州大学电气工程与自动化学院,福建,福州,350002 |
| |
| 摘 要： | 采用一种基于粒子群优化算法和人工神经网络相结合的混合算法应用于电力电子整流电路的故障诊断.文中首先论述了粒子群优化算法以及实现粒子群和神经网络的混合算法的操作步骤,然后将这种诊断方法应用于电力电子整流电路的故障诊断.仿真诊断结果表明,这种混合诊断方法可用于电力电子三相整流电路的故障诊断.它具有较快的收敛速度和较高的诊断精度,它具有工程的应用价值.
|
| 关 键 词： | 粒子群算法 神经网络 故障诊断 |
| 文章编号： | 1003-3076（2006）04-0023-04 |
| 收稿时间： | 2006-02-15 |
| 修稿时间： | 2006年2月15日 |
Application of particle-group and neural network hybrid algorithm in fault diagnosis of three-phase rectification circuit |
| |
| CAI Jin-ding,FU Zhong-yun.Application of particle-group and neural network hybrid algorithm in fault diagnosis of three-phase rectification circuit[J].Advanced Technology of Electrical Engineering and Energy,2006,25(4):23-26. |
| |
| Authors: | CAI Jin-ding FU Zhong-yun |
| |
| Affiliation: | Electrical Engineering and Automation College of Fuzhou University, Fuzhou 350002, China |
| |
| Abstract: | The application is based on particle-group optimal algorithm and neural network in fault diagnosis of power electronic rectification circuit. First the article discusses the particle-group optimal algorithm and operational procedure to the hybrid algorithm of particle-group and neural network, then the diagnosis method is applied to fault diagnosis of power electronic rectification circuit. According to the simulation result, the hybrid algorithm can be used to the fault diagnosis of three-phase rectification circuit. It has the faster rate of convergence and greater diagnosis accuracy, and it is suitable for practical applications. |
| |
| Keywords: | particle swarm optimization algorithm artificial neural network fault diagnosis |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
