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■ページ数 10ページ



Development of Portable Deterioration Diagnosis Device for Oil Filled Transformers based on Near-infrared Spectroscopic Information

■著者名 大島 誠一郎((株)トーエネック/三重大学大学院地域イノベーション学研究科),末原 憲一郎(三重大学大学院地域イノベーション学研究科/三重大学データサイエンス教育センター),伏見 文弥((株)トーエネック),中村 久栄((株)トーエネック),橋本 篤(三重大学大学院生物資源学研究科)
■著者名(英語) Seiichirou Oshima (Research & Development Division, TOENEC Corporation/Graduate School of Regional Innovation Studies, Mie University), Ken-ichiro Suehara (Graduate School of Regional Innovation Studies, Mie University/Center for Data Science Education and Research, Mie University), Fumiya Fushimi (Research & Development Division, TOENEC Corporation), Hisahide Nakamura (Research & Development Division, TOENEC Corporation), Atsushi Hashimoto (Graduate School of Bioresources, Mie University)
■価格 会員 ¥550 一般 ¥770
■書籍種類 論文誌(論文単位)
■グループ名 【A】基礎・材料・共通部門
■本誌 電気学会論文誌A(基礎・材料・共通部門誌) Vol.144 No.2 (2024) 特集:イノベーションを創出する最新の計測技術2024
■本誌掲載ページ 56-65ページ
■原稿種別 論文/日本語
■電子版へのリンク https://www.jstage.jst.go.jp/article/ieejfms/144/2/144_56/_article/-char/ja/
■キーワード 絶縁油,劣化,分光測定,フルフラール,加速劣化試験,フィールドテスト insulating oil,degradation,spectrometry,furfural,accelerated aging test,field test
■要約(英語) A transformer plays a key role in electric power distribution system; therefore, when the transformer fails, several electrical components may get affected. As a result, diagnosing the deterioration of transformers is important for the management of electric power distribution system. The furfural content in the insulating oil of a transformer is widely used as an indicator of deterioration because furfural is generated by the decomposition of insulating paper. However, analyzing the furfural content is time consuming because of the requirement of a professional and the complexity of the diagnosis process. In this study, we propose a novel method for analyzing the amount of furfural in the insulating oil based on near-infrared spectroscopic data obtained using the developed portable spectrometer, which can be used for the on-site analysis at transformer installation sites. We selected wavenumbers with high correlation coefficients between the furfural content of oil and the spectroscopic data and estimated the furfural content by partial least squares regression. The results suggest that the furfural content can be analyzed in a few minutes using a small amount of oil through a portable diagnostic device.
■版 型 A4
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