计算机与现代化Issue(7)：109-112,116,5.DOI:10.3969/j.issn.1006-2475.2013.07.029
基于小波神经网络的锅炉故障诊断及应用研究
Study of Boiler Fault Diagnosis Based on Wavelet Neural Network and Its Applications
吴国安 1刘春生 1薛雅丽1
作者信息
- 1. 南京航空航天大学自动化学院,江苏南京210016
- 折叠
摘要
Abstract
Boiler as the pivotal equipment of burning,its safe operation is essential,because boiler has complex structure,damage,wear,acid gas corrosion and improper operation will cause malfunctions.In order to avoid failure,this paper combines wavelet transform and neural network to constitute wavelet neural network and applies it to boiler fault diagnosis.Experiment results show that the wavelet neural network fully inherits the advantages of wavelet transform and neural network,this method has better fault diagnostic capabilities,the fault diagnosis accuracy is obvious better than BP neural network.关键词
锅炉/小波神经网络/故障诊断/BP神经网络Key words
boiler/wavelet neural network/fault diagnosis/BP neural network分类
信息技术与安全科学引用本文复制引用
吴国安,刘春生,薛雅丽..基于小波神经网络的锅炉故障诊断及应用研究[J].计算机与现代化,2013,(7):109-112,116,5.
