DocumentCode :
416699
Title :
Leakage fault detection of pneumatic pipe system using neural networks
Author :
Zhang, Sheng ; Asakura, Toshiyuki ; Hayashi, Shoji
Author_Institution :
Dept. of Intelligence Syst., Fukui Univ., Japan
Volume :
3
fYear :
2003
fDate :
4-6 Aug. 2003
Firstpage :
2482
Abstract :
This paper is concerned with leakage fault detection of pneumatic pipe system using neural networks filter. In this research, neural networks are used as nonlinear filter to eliminate noise and raise sound noise ratio of sound signal. Application to pneumatic system verifies the effectiveness of nonlinear filter by neural networks in leakage detection.
Keywords :
fault diagnosis; leak detection; neural nets; nonlinear filters; pneumatic systems; signal denoising; leakage fault detection; neural networks filter; noise elimination; nonlinear filter; pneumatic pipe system; pneumatic system;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
SICE 2003 Annual Conference
Conference_Location :
Fukui, Japan
Print_ISBN :
0-7803-8352-4
Type :
conf
Filename :
1323636
Link To Document :
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