Neural Network Applications to Real-time and Off-line Fault Analysis
نویسندگان
چکیده
This paper is concerned with application of Neural Networks (NNs) to fault analysis for both the realtime applications such as protective relaying of transmission lines and the off-line applications such as postmortem study of fault events recorded with Digital Fault Recorders (DFRs). A supervised learning NN of the same type is utilized for both applications. It has been demonstrated that the NN approach reaches performance of the existing techniques in both application areas and yet shows some additional benefits.
منابع مشابه
New Automated Fault Analysis Approaches Using Intelligent System Technologies
Automated fault analysis is needed for both on-line and off-line applications. Typical on-line applications are in the area of protective relaying and typical off-line applications are in the area of Digital Fault Recorder (DFR) event analysis. New intelligent system technologies using expert systems and artificial neural networks provide some unique advantages regarding fault analysis. This pa...
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