Knowledge discovery in neural networks 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: IEEE Transactions on Power Systems

Vol. 20 No. 3

Pages: 717-724

ISSN: 0885-8950

Publisher: IEEE

Indexing

ISI Web of Knowledge - 48 Citations

ISI Web of Science

Scopus - 84 Citations

Scientific classification

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

CORDIS: Technological sciences > Engineering > Electrical engineering

Other information

Authenticus ID: P-000-3M3

DOI: 10.1109/tpwrs.2005.846074

Abstract (EN): The paper describes a new methodology for mapping a neural network into a rule-based fuzzy inference system. This mapping makes explicit the knowledge implicitly captured by the neural network during the learning stage, by transforming it into a set of rules. The method is applied in transformer fault diagnosis using dissolved gas-in-oil analysis. Studies on transformer failure diagnosis are reported, illustrating the good results obtained and the knowledge discovery made possible.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 8