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

• Type: Article in International Scientific Journal
• Date: 2005

Authors

Adriana Castro (Author) FEUP; V. Miranda (Author) FEUP

Journal

Title: International Journal of Electrical Power and Energy Systems

Vol. 27

Pages: 620-626

ISSN: 0142-0615

Publisher: Elsevier

Indexing

ISI Web of Knowledge - 21 Citations

ISI Web of Science

Scopus - 20 Citations

Scientific classification

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

CORDIS: Technological sciences > Engineering > Electrical engineering

Other information

Authenticus ID: P-000-0PS

DOI: 10.1016/j.ijepes.2005.08.002

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: 7