We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
Novel Method for Estimating Furfural Content in Transformer Insulating Oil Using Spectroscopic Analysis and Pattern Recognition.
- Authors
Oshima, Seiichirou; Suehara, Ken‐ichiro; Hashimoto, Atsushi; Nakamura, Hisahide
- Abstract
The transformer is the most essential component in electrical power transmission. Once a transformer is installed, it is generally used for decades. When failure occurs in a transformer, serious problems can arise, and numerous electrical components that depend on the transformer may be affected. Thus, deterioration diagnosis of transformers is important. The furfural content in the insulating oil of a transformer is widely used as an indicator of transformer deterioration, as furfural is generated by decomposition of the insulating paper. Although the degree of transformer deterioration can be estimated by measuring the furfural content, this measurement is time‐consuming. This paper proposes a novel method for estimating the amount of furfural contained in insulating oil within a short time. The method is realized by combining spectroscopic analysis in the visible region with a pattern recognition technique. The effectiveness of the proposed method is verified through a series of experiments. © 2022 Institute of Electrical Engineers of Japan. Published by Wiley Periodicals LLC.
- Subjects
JAPAN; INSULATING oils; PATTERN recognition systems; FURFURAL; POWER transmission
- Publication
IEEJ Transactions on Electrical & Electronic Engineering, 2022, Vol 17, Issue 5, p646
- ISSN
1931-4973
- Publication type
Article
- DOI
10.1002/tee.23552