Development of response extraction technique using ICA and its application to structural damage identification

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  • 独立成分分析を用いた起振応答の抽出法と損傷同定問題への適用
  • ドクリツ セイブン ブンセキ オ モチイタ キシンオウトウ ノ チュウシュツホウ ト ソンショウ ドウテイ モンダイ エ ノ テキヨウ

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When we conduct forced vibration using a small shaker to identify structural damage, the responses have the possibility to contain measurement noise due to ambient vibrations. To surmount this, the independent component analysis (ICA) was applied to extract the excitation responses from contaminated measurements. ICA is an algorithm recently used for blind source separation. It separates signals only using the statistical independence of original signals. We assume that a structure is excited by independent input forces: harmonic excitation and ambient vibrations, and tried to extract the harmonic excitation responses. We proposed its application as preprocess of damage identification to improve the identification accuracy. Though numerical simulation, we confirmed that the technique worked efficiently to obtain identification results of high accuracy.

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