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An Underdetermined Blind Source Separation Method with Application to Modal Identification
Author
Source
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-10-08
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Abstract EN
In structural dynamic analysis, the blind source separation (BSS) technique has been accepted as one of the most effective ways for modal identification, in which how to extract the modal parameters using very limited sensors is a highly challenging task in this field.
In this paper, we first review the drawbacks of the conventional BSS methods and then propose a novel underdetermined BSS method for addressing the modal identification with limited sensors.
The proposed method is established on the clustering features of time-frequency (TF) transform of modal response signals.
This study finds that the TF energy belonging to different monotone modals can cluster into distinct straight lines.
Meanwhile, we provide the detailed theorem to explain the clustering features.
Moreover, the TF coefficients of each modal are employed to reconstruct all monotone signals, which can benefit to individually identify the modal parameters.
In experimental validations, two experimental validations demonstrate the effectiveness of the proposed method.
American Psychological Association (APA)
Yu, Gang. 2019. An Underdetermined Blind Source Separation Method with Application to Modal Identification. Shock and Vibration،Vol. 2019, no. 2019, pp.1-15.
https://search.emarefa.net/detail/BIM-1210956
Modern Language Association (MLA)
Yu, Gang. An Underdetermined Blind Source Separation Method with Application to Modal Identification. Shock and Vibration No. 2019 (2019), pp.1-15.
https://search.emarefa.net/detail/BIM-1210956
American Medical Association (AMA)
Yu, Gang. An Underdetermined Blind Source Separation Method with Application to Modal Identification. Shock and Vibration. 2019. Vol. 2019, no. 2019, pp.1-15.
https://search.emarefa.net/detail/BIM-1210956
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1210956