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.File in questo prodotto:
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