| 蚁群算法在电机故障诊断中的应用 |
| |
| 引用本文： | 石丁丁,潘宏侠.蚁群算法在电机故障诊断中的应用[J].大电机技术,2009(1). |
| |
| 作者姓名： | 石丁丁 潘宏侠 |
| |
| 作者单位： | 中北大学信息与通信工程学院,太原,030051 |
| |
| 摘 要： | 蚁群算法是近几年优化领域中新出现的一种启发式仿生类并行智能进化算法,有正反馈、分布式计算、启发性收敛等特点.本文介绍了蚁群算法的基本原理和算法模型,建立了以电机为对象的神经网络故障诊断系统,应用蚁群算法训练了神经网络并进行了故障诊断,与BP算法的诊断结果进行了比较.网络训练的对比结果表明,基于蚁群算法的神经网络故障诊断系统,对多故障征兆有较好的故障识别率,且算法收敛快,诊断精度高,具有较高的搜索效率.
|
| 关 键 词： | 蚁群算法 神经网络 故障诊断 |
Ant Colony Algorithm Application to the Fault Diagnosis of Motor |
| |
| SHI Ding-ding,PAN Hong-xia.Ant Colony Algorithm Application to the Fault Diagnosis of Motor[J].Large Electric Machine and Hydraulic Turbine,2009(1). |
| |
| Authors: | SHI Ding-ding PAN Hong-xia |
| |
| Affiliation: | College of Information and Communication Engineering;North University;Taiyuan 030051;China |
| |
| Abstract: | Ant Colony Algorithm(ACA) is a new heuristic bionic parallel intelligent evolutionary algorithm in the field of optimization in recent years.It has positive feedback,distributed computation,and heuristic convergence.This paper introduces the principles and the algorithm model of the ant colony algorithm.Then the fault diagnosis system of neural network(NN)is established.ACA algorithm is used to train a NN for fault diagnosis of motor.The diagnostic results based on ACA are compared with ones of BP algorithm... |
| |
| Keywords: | |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
|
