The possibilities offered by neural networks for overcoming both system identification and fault diagnosis problems in dynamic systems are investigated. In particular, an original ″neural″ fault diagnosis procedure is illustrated; its sensitivity and response time enables it to be used to great advantage in on-line applications. Some applications are also reported which, although pertaining to a simple linear dynamic system, highlight the general applicability and advantages of a neural approach.
Neural network approach for identification and fault diagnosis on dynamic systems / A., Bernieri; D'Apuzzo, Massimo; L., Sansone; M., Savastano. - STAMPA. - (1993), pp. 564-569. (Intervento presentato al convegno IMTC tenutosi a Irvine, CA, USA nel 1993).
Neural network approach for identification and fault diagnosis on dynamic systems
D'APUZZO, MASSIMO;
1993
Abstract
The possibilities offered by neural networks for overcoming both system identification and fault diagnosis problems in dynamic systems are investigated. In particular, an original ″neural″ fault diagnosis procedure is illustrated; its sensitivity and response time enables it to be used to great advantage in on-line applications. Some applications are also reported which, although pertaining to a simple linear dynamic system, highlight the general applicability and advantages of a neural approach.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
