静電容量と電位に基づいた分布誘電率非破壊推定におけるパラメー夕フリーGAの評価関数の検討

カテゴリ: 論文誌(論文単位)

グループ名: 【A】基礎・材料・共通部門

発行日: 2016/04/01

タイトル(英語): A Study on Fitness Function with Parameter-free Genetic Algorithm for Non-destructive Estimation of Permittivity Distribution based on Capacitance and Electric Potential

著者名: 相知　政司（千葉工業大学工学部電気電子情報工学科），富山　和義（千葉工業大学大学院工学研究科電気電子情報工学専攻），古川　達也（佐賀大学大学院工学系研究科電気電子工学専攻），伊藤　秀昭（佐賀大学大学院工学系研究科電気電子工学専攻），福本　尚生（佐賀大学大学院工学系研究科電気電子工学専攻）

著者名(英語): Masashi Ohchi (Department of Electrical, Electronics and Computer Engineering, Faculty of Engineering, Chiba Institute of Technology), Kazuyoshi Tomiyama (Master's Program in Electrical, Electronics and Computer Engineering, Graduate School of Engineering, Chiba Institute of Technology), Tatsuya Furukawa (Graduate School of Science and Engineering, Saga University), Hideaki Itoh (Graduate School of Science and Engineering, Saga University), Hisao Fukumoto (Graduate School of Science and Engineering, Saga University)

キーワード: 分布誘電率，パラメータフリー遺伝的アルゴリズム(PfGA)，有限要素法(FEM)　　permittivity distribution，parameter-free genetic algorithm (PfGA)，finite element method (FEM)

要約(英語): We have carried out experimental and numerical analyses for reconstruction of permittivity distribution using a pair of long distance small size electrodes and additional arc electrodes. A reconstruction method for permittivity distribution that uses a genetic algorithm and numerical analysis (finite element method) based on measured capacitance has been proposed and investigated. However, the conventional method had a problem in accuracy. In this paper, the reconstruction method has been improved by using a Parameter-free Genetic Algorithm(PfGA) based on measured capacitance and electric potential. In addition, we have evaluated the fitness function with PfGA.

本誌: 電気学会論文誌A（基礎・材料・共通部門誌） Vol.136 No.4 （2016） 特集：平成27年基礎・材料・共通部門大会

本誌掲載ページ: 164-173 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/ieejfms/136/4/136_164/_article/-char/ja/