DocumentCode
2752774
Title
A method for fault detection and isolation using neural networks
Author
Zhang, Qinghua ; Zhang, Youmin
Author_Institution
IRISA, Rennes, France
Volume
4
fYear
1996
fDate
3-6 Jun 1996
Firstpage
2270
Abstract
A method for fault detection is proposed using a trained neural network as the nominal model of the system to be monitored. Partial physical knowledge, if available, can be combined with the nominal model to perform fault isolation
Keywords
fault diagnosis; knowledge based systems; minimax techniques; neural nets; statistical analysis; fault detection; fault isolation; min-max method; neural networks; parametric model; pattern classification; physical knowledge; statistical method; Artificial neural networks; Automatic control; Computerized monitoring; Condition monitoring; Fault detection; Mathematical model; Neural networks; Parametric statistics; Product safety; Production systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 1996., IEEE International Conference on
Conference_Location
Washington, DC
Print_ISBN
0-7803-3210-5
Type
conf
DOI
10.1109/ICNN.1996.549255
Filename
549255
Link To Document