A Hopfield-Based Neuro-Diagnostic System

A Hopfield-Based Neuro-Diagnostic System

A high potential application area for neural networks in the dynamic systems is the area of failure detection and identification. An innovation based failure diagnostic is considered in this paper. This scheme requires a fast on-line system identification technique. Formulation and development of a...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: Chu, S.R., Shoureshi, Rahmat, Healey, A.J.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Circuits
Equations
Intelligent networks
Mechanical engineering
Neural networks
Neurons
Real time systems
Recurrent neural networks
System identification
Technological innovation
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Beschreibung
Zusammenfassung:A high potential application area for neural networks in the dynamic systems is the area of failure detection and identification. An innovation based failure diagnostic is considered in this paper. This scheme requires a fast on-line system identification technique. Formulation and development of a recurrent Hopfield network for system identification is presented. The general case of a combined parameter idenfification and state observation is considered.
DOI:10.23919/ACC.1992.4792616