Application of neural networks paradigms in the diagnosis and thermal ageing prediction of transformer oil

Application of neural networks paradigms in the diagnosis and thermal ageing prediction of transformer oil

In this paper we present the application of some artificial neural networks algorithms to the diagnosis and thermal ageing prediction of transformer oil. The simulation had been validated by experimental results.

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Bibliographische Detailangaben
Hauptverfasser: Mokhnache, L., Boubakeur, A., Nait Said, N.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Aging
Costs
Dielectrics and electrical insulation
Intelligent networks
Laboratories
Neural networks
Oil insulation
Petroleum
Power transformer insulation
Thermal engineering
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Beschreibung
Zusammenfassung:In this paper we present the application of some artificial neural networks algorithms to the diagnosis and thermal ageing prediction of transformer oil. The simulation had been validated by experimental results.
DOI:10.1109/ICDL.2002.1022742