Application of wavelet package and neural network in ventilators fault warning

被引：0
|
作者：
Zhu Quan [1 ]
Fu Sheng [1 ]
Li Jing [1 ]
机构：
[1] Beijing Univ Technol, Coll Mech Engn & Appl Elect Technol, Beijing 100022, Peoples R China
来源：
PROCEEDINGS OF 2008 INTERNATIONAL CONFERENCE ON CONDITION MONITORING AND DIAGNOSIS | 2007年
关键词：
wavelet package; neural network; fault diagnosis; warning; ventilator;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Energy-fault method is introduced for faults warning of ventilators, which is based on wavelet package analysis and BP neural network. Character vectors which reflect different faults state of ventilators are extracted from different frequency segments with the technology of wavelet package analysis, and taking them into BP neural network model which is trained with character vectors of typical faults sample. The faults states of ventilators are identified with the BP neural network model. The results of research show that this kind of faults diagnosis technology is an effective way to implement faults warning.
引用
收藏
页码：1362 / 1364
页数：3
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