首页 | 本学科首页   官方微博 | 高级检索  
     

基于遗传小波神经网络的电梯故障诊断分析
引用本文:张莉,武昌俊,余丙荣,周明龙. 基于遗传小波神经网络的电梯故障诊断分析[J]. 吉林林学院学报, 2012, 0(2): 236-240
作者姓名:张莉  武昌俊  余丙荣  周明龙
作者单位:安徽机电职业技术学院电气工程系,安徽芜湖241000
基金项目:基金项目:安徽省优秀青年人才基金项目(2011SQRL183).
摘    要:利用小波分析具有能量分布特征提取的特性和遗传算法优化BP算法的能力,提出了一种基于遗传算法、小波与神经网络的电梯故障诊断方法,并应用电梯故障数据作为实例进行了验证.遗传算法小波神经网络模型诊断速度快、鲁棒性好、故障诊断正确率高.

关 键 词:小波变换  人工神经网络  遗传算法  故障诊断

Elevator Fault Diagnosis Analysis Based on Genetic Wavelet Neural Network
ZHANG Li,WU Chang-jun,YU Bing-rong,ZHOU Ming-long. Elevator Fault Diagnosis Analysis Based on Genetic Wavelet Neural Network[J]. , 2012, 0(2): 236-240
Authors:ZHANG Li  WU Chang-jun  YU Bing-rong  ZHOU Ming-long
Affiliation:( Anhui Technical College of Mechanical and Electrical Engineering, Wuhu 241000, China)
Abstract:By means of energy distribution feature extraction of wavelet analysis and the ability of genetic algorithm to optimize BP, an elevator fault diagnosis method is developed, which is based on genetic algorithm, wavelet and neural network. The elevator fault data is applied as an example. The result shows that GA-WANN model is with speedy diagnosis, good robustness and high accuracy of fault diagnosis.
Keywords:wavelet transform  ANN  GA  fault diagnosis
本文献已被 维普 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号