Title :
A method for fault detection and isolation using neural networks
Author :
Zhang, Qinghua ; Zhang, Youmin
Author_Institution :
IRISA, Rennes, France
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;
Conference_Titel :
Neural Networks, 1996., IEEE International Conference on
Conference_Location :
Washington, DC
Print_ISBN :
0-7803-3210-5
DOI :
10.1109/ICNN.1996.549255
