ICA 기법을 이용한 구조물의 진동원 신호 규명

Independent component analysis (ICA) technique based on statistical independency of the signals is known as suitable to identify the source signals by measuring and separating mixed signals through transfer paths and has successfully applied in the field of medical care, communications and so forth....

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Bibliographic Details
Published in大韓造船學會 論文集 Vol. 49; no. 6; pp. 498 - 503
Main Authors 김국현(Kookhyun Kim), 권혁민(Hyuk-Min Kwon), 조대승(Dae-Seung Cho), 김재호(Jae-Ho Kim), 전재진(Jae-Jin Jun)
Format Journal Article
LanguageKorean
Published 대한조선학회 2012
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Summary:Independent component analysis (ICA) technique based on statistical independency of the signals is known as suitable to identify the source signals by measuring and separating mixed signals through transfer paths and has successfully applied in the field of medical care, communications and so forth. In this study, the ICA technique is introduced for the identification of excitation sources from measured vibration signals of structures, which can be done by evaluating negentropy of centered and whitened vibration signals and correlation of separated signals. To validate the method, numerical analyses are carried out for a plate and a cylinder structure. The results show that the method can be applied efficiently to source identification of complex structures. Nevertheless, additional studies would be required to complement problems of occasional inaccuracy.
Bibliography:KISTI1.1003/JNL.JAKO201205061575319
G704-000005.2012.49.6.004
ISSN:1225-1143
2287-7355