A NEURAL-NETWORK APPROACH FOR IDENTIFICATION AND FAULT-DIAGNOSIS ON DYNAMIC-SYSTEMS

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 sensi tivity and response time enable it to be used in on-line fault diagnos is applications. Some examples are also reported. Even though they per tain to a simple linear dynamic system, these examples highlight the g eneral applicability and advantages of a neural approach.