SOFCシステムにおける故障予兆検知技術の検証

カテゴリ: 論文誌(論文単位)

グループ名: 【C】電子・情報・システム部門

発行日: 2021/05/01

タイトル(英語): Verification of Failure Sign Detection in SOFC-based Systems

著者名: 吉川　譲二（京セラ（株） みなとみらいリサーチセンター 先進技術研究所），武石　直也（理化学研究所 革新知能総合研究センター），西山　薫（京セラ（株） みなとみらいリサーチセンター 先進技術研究所），高橋　久尚（京セラ（株） みなとみらいリサーチセンター 先進技術研究所），河原　吉伸（理化学研究所 革新知能総合研究センター），木下　直人（京セラ（株） みなとみらいリサーチセンター 先進技術研究所）

著者名(英語): Joji Yoshikawa (KYOCERA Corporation Minatomirai Research Center Advanced Technology Research Institute), Naoya Takeishi (RIKEN Center for Advanced Intelligence Project), Kaoru Nishiyama (KYOCERA Corporation Minatomirai Research Center Advanced Technology

キーワード: 故障予兆検知，燃料電池　　failure sign detection，fuel cell

要約(英語): We study a technique of predictive maintenance for systems with solid oxide fuel cells (SOFCs). SOFC-based systems are a digital ecosystem that utilizes energy efficiently because they generate power using oxygen in the air and hydrogen taken out from gas and also make hot water using heat generated during the power generation. Such systems are complicated as they are equipped with many sensors to control fuel flows (i.e., gas and air) and power generation according to power demands. For predictive maintenance of such complicated systems, developing individual algorithms for each individual failure sign is infeasible because of the variety of possible failure signs. Thus, it is necessary to develop a novel algorithm capable of grasping various failure signs. In this work, we develop a method to detect failure signs by performing change-point detection as well as classification analysis of change points to understand the cause of detected change points. In the change-point detection technique, failure signs are detected based on the reconstruction errors calculated with principal component analysis. In the change-point analysis technique, we solve a classification problem on the detected failure signs. Moreover, we propose a method to tell a failure sign that may correspond to unknown types of faults. We show experimental results with data obtained from real SOFC-based systems and confirm the validity of the proposed method.

本誌: 電気学会論文誌C（電子・情報・システム部門誌） Vol.141 No.5 （2021） 特集：神経工学

本誌掲載ページ: 712-719 p

原稿種別: 論文／日本語

電子版へのリンク: https://www.jstage.jst.go.jp/article/ieejeiss/141/5/141_712/_article/-char/ja/