うず電流探傷技術を用いたPCB検査のための高速な欠陥判定

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: 2014/05/01

タイトル(英語): High-Speed Defect Detection of Printed Circuit Board Based on Eddy-Current Testing Method

著者名: 村田　裕章（金沢大学），池畑　芳雄（金沢大学），山田　外史（金沢大学）

著者名(英語): Hiroaki Murata （Kanazawa University）, Yoshio Ikehata （Kanazawa University）, Sotoshi Yamada （Kanazawa University）

キーワード: うず電流探傷，欠陥判定，プリント基板，巨大磁気抵抗効果素子センサ，ノイズ除去　　eddy-current testing，defect detection，printed circuit board，giant magneto-resistance sensor，noise elimination

要約(英語): Eddy-current testing (ECT) technique, which is one of non-destructive evaluation, is applied to detect defect on printed circuit board (PCB). The ECT probe consists of a meander coil as an exciting coil and a giant magneto-resistance (GMR) sensor as a magnetic sensor. The ECT signal archived from a GMR sensor composes of many unwanted signals. Therefore, a defect detection system eliminates noise from measured ECT signal. If noise elimination requires many signal data, the probe necessary to move slowly in order to measure many signal data. Required signal data size depends on noise tolerance of defect detection. These mean that noise elimination is important factor in realizing high-speed defect detection system. We tried to eliminate noise in the time space, but it is difficult to remove the noise depending on the surface condition of PCB. In this report, we propose a defect detection method which eliminates noise not only in the time domain but also in the space domain. On a result, the method eliminates noise clearly by using smaller signal data and gives high-speed inspection of detect on PCB.

本誌: 電気学会論文誌C（電子・情報・システム部門誌） Vol.134 No.5 （2014） 特集：機械学習手法に基づく設備診断・監視技術

本誌掲載ページ: 651-656 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/134/5/134_651/_article/-char/ja/