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