| 基于Kohonen神经网络的故障诊断方法 |
| |
| 引用本文： | 莫礼平.基于Kohonen神经网络的故障诊断方法[J].成都大学学报(自然科学版),2007,26(1):47-51. |
| |
| 作者姓名： | 莫礼平 |
| |
| 作者单位： | 吉首大学,数学与计算机科学学院,湖南,吉首,416000 |
| |
| 摘 要： | 针对传统故障诊断技术的不足,提出一种基于Kohonen神经网络的故障诊断方法,其使用一种由邻域函数决定权重调整程度的改进SOM算法进行学习,避免基本SOM算法中调整权重前的邻域判断过程,有利于提高网络的学习速度和自适应性.以齿轮故障诊断为例进行Matlab仿真实验,实验结果表明该方法不但可行,而且诊断速度快、准确率高.
|
| 关 键 词： | 神经网络 SOM算法 故障诊断 |
| 文章编号： | 1004-5422（2007）01-0047-05 |
| 修稿时间： | 2006-11-13 |
A Method for Fault Diagnosis Based on Kohonen Neural Network |
| |
| MO Liping.A Method for Fault Diagnosis Based on Kohonen Neural Network[J].Journal of Chengdu University (Natural Science),2007,26(1):47-51. |
| |
| Authors: | MO Liping |
| |
| Institution: | College of Mathematics and Computer Science, Jishou University, Jishou 416000, China |
| |
| Abstract: | Aiming at the shortage of tradgeitional fault diagnosis technology,a method for fault diagnosis based on Kohonen neural network is put forward.During learning,this model adopts an improved SOM algorithm,which decides weight-adjustment degree with neighbourhood function,and avoids judging neighbourhood in basic SOM algorithm.This method is advantageous to increase the speed of learning and improve network's adaptability.Taking an example of wheel gear fault diagnosis,a simulative experiment is done in the Matlab.The result shows that the above-mentioned method is not only feasible,but also with a quick speed and a good accuracy. |
| |
| Keywords: | neural network self-organizing map algorithm fault diagnosis |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
|
