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

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.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11588/472871
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