Comparison of Different Independent Component Analysis Algorithms for Output-Only Modal Analysis
Joint Authors
Zhong, Bineng
Wang, Cheng
Wang, Jianying
Zhang, Tianshu
Source
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-25, 25 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-09-18
Country of Publication
Egypt
No. of Pages
25
Main Subjects
Abstract EN
From the principle of independent component analysis (ICA) and the uncertainty of amplitude, order, and number of source signals, this paper expounds the root reasons for modal energy uncertainty, identified order uncertainty, and modal missing in output-only modal analysis based on ICA methods.
Aiming at the problem of lack of comparison and evaluation of different ICA algorithms for output-only modal analysis, this paper studies the different objective functions and optimization methods of ICA for output-only modal parameter identification.
Simulation results on simply supported beam verify the effectiveness, robustness, and convergence rate of five different ICA algorithms for output-only modal parameters identification and show that maximization negentropy with quasi-Newton iterative of ICA method is more suitable for modal parameter identification.
American Psychological Association (APA)
Wang, Jianying& Wang, Cheng& Zhang, Tianshu& Zhong, Bineng. 2016. Comparison of Different Independent Component Analysis Algorithms for Output-Only Modal Analysis. Shock and Vibration،Vol. 2016, no. 2016, pp.1-25.
https://search.emarefa.net/detail/BIM-1119503
Modern Language Association (MLA)
Wang, Jianying…[et al.]. Comparison of Different Independent Component Analysis Algorithms for Output-Only Modal Analysis. Shock and Vibration No. 2016 (2016), pp.1-25.
https://search.emarefa.net/detail/BIM-1119503
American Medical Association (AMA)
Wang, Jianying& Wang, Cheng& Zhang, Tianshu& Zhong, Bineng. Comparison of Different Independent Component Analysis Algorithms for Output-Only Modal Analysis. Shock and Vibration. 2016. Vol. 2016, no. 2016, pp.1-25.
https://search.emarefa.net/detail/BIM-1119503
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1119503