Wavelet neural networks for intelligent fault diagnosis
文献类型：会议论文
| 作者 | Guo QJ(郭前进); Yu HB(于海斌) ; Xu AD(徐皑冬)
|
| 出版日期 | 2005 |
| 会议名称 | International Symposium on Intelligence Computation and Applications |
| 会议日期 | April 4-6, 2005 |
| 会议地点 | Wuhan, China |
| 关键词 | wavelet neural networks intelligent fault diagnosis wavelet transform feature extraction |
| 页码 | 477-485 |
| 通讯作者 | 郭前进 |
| 中文摘要 | Wavelet neural networks (WNN) combing the properties of the wavelet transform and the advantages of Artificial Neural Networks (ANNs) have attracted great interest and become a popular tool for various fields of mathematics and engineering. We describe here the application of WNN to the fault diagnosis of rotating machinery. In this paper, the wavelet network architecture for intelligent fault diagnosis is first introduced. Then an optimization method of neural network and a training algorithm is developed. Finally, Feedforward backpropagation neural network (BP) and wavelet neural networks are compared for fault diagnosis. The aim of this study is to examine the effective of the WNN model for fault diagnosis. Experiment results shows that the WNN has advantages of rapid training, generality and accuracy over feedforward backpropagation neural network. |
| 收录类别 | CPCI（ISTP） |
| 产权排序 | 1 |
| 会议主办者 | China Assoc Aerosp, Natl Nat Sci Fdn China, China Univ Geosci, China Univ Geosci Press |
| 会议录 | Progress in Intelligence Computation & Applications
 |
| 会议录出版者 | CHINA UNIV GEOSCIENCES PRESS |
| 会议录出版地 | WUHAN |
| 语种 | 英语 |
| ISBN号 | 7-5625-1983-8 |
| WOS记录号 | WOS:000231083700077 |
| 源URL | [http://ir.sia.cn/handle/173321/8148]  |
| 专题 | 沈阳自动化研究所_工业信息学研究室_工业控制系统研究室 |
| 推荐引用方式 GB/T 7714 | Guo QJ,Yu HB,Xu AD. Wavelet neural networks for intelligent fault diagnosis[C]. 见:International Symposium on Intelligence Computation and Applications. Wuhan, China. April 4-6, 2005. |
入库方式： OAI收割
来源：沈阳自动化研究所
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