An interpretation of neural networks as inference engines with application to transformer fault diagnosis

• Type: Article in International Conference Proceedings Book
• Date: 2004

Authors

Adriana Castro (Author) FEUP; Vladimiro Miranda (Author) FEUP

Conference proceedings International

Title: Proceedings of the 8th PMAPS - Int. Conf. on Probabilistic Methods Applied to Power Systems

Pages: 1-6

8th PMAPS - Int. Conf. on Probabilistic Methods Applied to Power Systems

Scientific classification

FOS: Engineering and technology > Electrical engineering, Electronic engineering, Information engineering

CORDIS: Technological sciences > Engineering > Electrical engineering

Other information

Abstract (EN): An artificial neural network concept has been developed for transformer fault diagnosis using dissolved gas-in-oil analysis (DGA). A new methodology for mapping the neural network into a rule-based inference system is described. This mapping makes explicit the knowledge implicitly captured by the neural network during the learning stage, by transforming it into a Fuzzy Inference System. Some studies are reported, illustrating the good results obtained.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 6