音・振動間の高次相関情報を用いた機械の異常検出

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: 2011/09/01

タイトル(英語): Detection of Failure of Machine by Using the Higher Order Correlation Information between Sound and Vibration

著者名: 生田　顕（県立広島大学），折本　寿子（県立広島大学），小川　仁士（県立広島大学）

著者名(英語): Akira Ikuta (Prefectural University of Hiroshima), Hisako Orimoto (Prefectural University of Hiroshima), Hitoshi Ogawa (Prefectural University of Hiroshima)

キーワード: 音と振動間の高次相関，条件付確率，相関特性の変化情報　　higher order correlation between sound and vibration，conditional probability，changing information of correlation characteristics

要約(英語): In this study, a stochastic detection method of failure of machines based on the changing information of not only a linear correlation but also the higher order nonlinear correlation is proposed in a form suitable for on-line signal processing in time domain by using a personal computer, especially in order to find minutely the mutual relationship between sound and vibration emitted from rotational machines. More specifically, a conditional probability hierarchically reflecting various types of correlation information is theoretically derived by introducing an expression on the multi-dimensional probability distribution in orthogonal expansion series form. The effectiveness of the proposed theory is experimentally confirmed by applying it to the observed data emitted from a rotational machine driven by an electric motor.

本誌: 電気学会論文誌C（電子・情報・システム部門誌） Vol.131 No.9 （2011） 特集：医療・ヘルスケアにおける工学技術の新展開

本誌掲載ページ: 1600-1607 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/131/9/131_9_1600/_article/-char/ja/