The possibilities offered by neural networks for system identification and fault diagnosis problems in dynamic systems are investigated. In particular, an original 'neural' procedure is illustrated: its sensitivity and response time enable it to be used in on-line fault diagnosis applications. Some examples are also reported. Even though they pertain to a simple linear dynamic system, these examples 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. - In: IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT. - ISSN 0018-9456. - STAMPA. - 43:(1994), pp. 867-873. [10.1109/19.368083]
Neural network approach for identification and fault diagnosis on dynamic systems
D'APUZZO, MASSIMO;
1994
Abstract
The possibilities offered by neural networks for system identification and fault diagnosis problems in dynamic systems are investigated. In particular, an original 'neural' procedure is illustrated: its sensitivity and response time enable it to be used in on-line fault diagnosis applications. Some examples are also reported. Even though they pertain to a simple linear dynamic system, these examples 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.
