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Blind Source Separation Based Dynamic Parameter Identification of a Multi-Story Moment-Resisting Frame Building under Seismic Ground Motions
2013
Procedia Engineering
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In this study second order blind identification -a class of blind source identification techniquefactor. ...
This paper addresses the application of blind source separation technique for identifying dynamic parameters of a seismic-excited multi-story building from its measured response. ...
Blind source separation (BSS) technique using second order statistics (SOBI) was introduced in Belouchrani et al. (1997) . ...
doi:10.1016/j.proeng.2013.03.027
fatcat:rfdeoonagzgthjzkgcfg3wk26q
Sparse and Random Sampling Techniques for High-Resolution, Full-Field, BSS-Based Structural Dynamics Identification from Video
2020
Sensors
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to blind source separation the added benefit of high-resolution, full-field modal identification is achieved. ...
Video-based techniques for identification of structural dynamics have the advantage that they are very inexpensive to deploy compared to conventional accelerometer or strain gauge techniques. ...
For structural dynamics identification, complexity pursuit [56] has served as a good solution technique for the blind source separation problem [40, 60, 61] . ...
doi:10.3390/s20123526
pmid:32580321
fatcat:g22cmth73jdv7p3nbl6453jpcq
Fault Diagnosis in Industrial Systems Based on Blind Source Separation Techniques Using One Single Vibration Sensor
2012
Shock and Vibration
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Fault detection techniques considered here are based on output-only methods coming from the Blind Source Separation (BSS) family, namely Principal Component Analysis (PCA) and Second Order Blind Identification ...
The angular coherence between subspaces is a good indicator of a dynamic change in the system due to the occurrence of faults or damages. ...
ACKNOWLEDGEMENT The authors would like to acknowledge the financial support of the "Région Wallonne" of Belgium in the framework of the "MINT" project. ...
doi:10.1155/2012/183541
fatcat:3o3fxy7fprenfnur7j255dcsia
Industrial Applications of Extended Output-Only Blind Source Separation Techniques
[chapter]
2011
Springer Proceedings in Physics
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This paper presents industrial applications of two possible extensions of output-only Blind Source Separation (BSS) techniques, namely Principal Component Analysis (PCA) and Second Order Blind Identification ...
The objective is to address the problem of fault detection in mechanical systems using subspace-based methods. ...
Introduction Blind source separation (BSS) techniques allow to recover a set of underlying sources from observations without any knowledge of the mixing process or the sources. ...
doi:10.1007/978-94-007-2069-5_12
fatcat:4nu5hq5xfnhabo2uo3mqvk2zni
Damage Detection Using Blind Source Separation Techniques
[chapter]
2011
Sensors, Instrumentation and Special Topics, Volume 6
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Two particular BSS techniques called Second-Order Blind Identification (SOBI) and Blind Modal Identification (BMID) are considered in this paper for the purpose of structural damage detection or fault ...
Blind source separation (BSS) techniques are applied in many domains since they allow separating a set of signals from their observed mixture without the knowledge (or with very little knowledge) of the ...
Acknowledgments The authors are grateful to Jean-François Cardoso for making his extended Jacobi technique available. ...
doi:10.1007/978-1-4419-9507-0_6
fatcat:raeuajy6ufdyfk7wdronso242y
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
Development of response extraction technique using ICA and its application to structural damage identification
2006
Journal of Applied Mechanics
Development of response extraction technique using ICA and its application to structural damage identification
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ICA is an algorithm recently used for blind source separation. It separates signals only using the statistical independence of original signals. ...
Though numerical simulation, we confirmed that the technique worked efficiently to obtain identification results of high accuracy. ...
recordings, Advances in Neural Information Processing Systems 10, Cambridge: MIT Press, pp.229-235, 1998. 16) Furukawa A. and Kiyono J.: Structural damage identification based on harmonic excitation force ...
doi:10.2208/journalam.9.43
fatcat:fy2as5s4irepjeelasa73o3gsu
Output-Only Structural Health Monitoring for Deepwater Risers: Experimental Study of Wavelet Modified SOBI and Distributed Force Index Algorithm
2014
International Journal of Structural Stability and Dynamics
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To address the lack of appropriate global structural health monitoring system for deepwater risers, this paper proposes a time-frequency domain approach using a wavelet modified second order blind identification ...
Both numerical and experimental verification are presented to validate the effectiveness of the proposed WMSOBI/CFDC algorithm and structural health monitoring system. ...
Blind Source Separation Blind Source Separation (BSS) is a statistical signal processing technique, which attempts to recover the individual unknown but statistically independent source components from ...
doi:10.1142/s0219455414400100
fatcat:vtmjdn6y3jdctpac6hieutle5m
Second Order Blind Source Separation techniques (SO-BSS) and their relation to Stochastic Subspace Identification (SSI) algorithm
[chapter]
2011
Structural Dynamics, Volume 3
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Second Order Blind Source Separation (SO-BSS) techniques are BSS algorithms that employ diagonalization of output correlation matrices in order to recover information about the original sources and the ...
Blind Source Separation (BSS) and Independent Component Analysis (ICA) techniques are emerging signal processing techniques that aim at identifying statistically independent sources from a linear mixture ...
Conclusions and Scope for Future Work As interest in blind source separation techniques increases in the structural dynamics community, it is important to understand their advantages and limitations in ...
doi:10.1007/978-1-4419-9834-7_16
fatcat:dqy4pqrm75al7ddft2vd7f6rfu
Physical interpretation of independent component analysis in structural dynamics
2007
Mechanical systems and signal processing
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Based on this theoretical link, a time-domain structural system identification technique is proposed and is illustrated using numerical examples. r ...
This paper focuses on the relation between the vibration modes of mechanical systems and the modes computed through a blind source separation technique called independent component analysis (ICA). ...
The present study performs structural system identification using a blind source separation technique called independent component analysis (ICA). ...
doi:10.1016/j.ymssp.2006.07.009
fatcat:xziqvblkbrgdtntul6lq3x5s4y
Operational modal analysis of three-dimensional structures by second-order blind identification and least square generalized inverse
2017
Journal of Vibroengineering
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Output-only modal analysis using blind source
separation techniques. Mechanical Systems and Signal Processing, Vol. 21, Issue 6, 2007,
p. 2335-2358.
[8] Zhou W., Chelidze D. ...
Second-Order Blind Identification (SOBI) is a way of the blind
source separation technique [10-11], and it has been applied to the field of OMA [12-14] since
2007. ...
doi:10.21595/jve.2017.18108
fatcat:bofdnxodmjfrrlajgfycwg357a
Blind modal identification of output-only structures in time-domain based on complexity pursuit
2013
Earthquake engineering & structural dynamics (Print)
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As a powerful unsupervised learning algorithm, blind source separation (BSS) technique is able to recover the hidden sources and the unknown mixing process using only the observed mixtures. ...
Output-only modal identification is needed when only structural responses are available. ...
In the recent years, blind source separation (BSS) has shown prominent capability as a new unsupervised signal processing tool [30] and has been introduced into structural dynamics [31] . ...
doi:10.1002/eqe.2302
fatcat:tzzwbw7qvbdxta7oukhcbzvlne
Output-only modal analysis using blind source separation techniques
2007
Mechanical systems and signal processing
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The present study carries out output-only modal analysis using two blind source separation (BSS) techniques, namely independent component analysis and second-order blind identification. ...
The concept of virtual source is exploited and renders the application of these BSS techniques possible. The proposed modal analysis method is illustrated using numerical and experimental examples. r ...
The authors would like to thank Maxime Peeters for his assistance in the experimental part of this study.
ARTICLE IN PRESS ...
doi:10.1016/j.ymssp.2006.12.005
fatcat:edl3mhzt25c5zapthor4745swe
Experimental study on bridge structural health monitoring using blind source separation method: arch bridge
2014
Structural Monitoring and Maintenance
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This method uses continuous wavelet transform to modify a popular blind source separation algorithm, second order blind identification (SOBI). ...
A new output only modal analysis method is developed in this paper. ...
Acknowledgments The research described in this paper was partially supported by the PASCO and National Instruments. ...
doi:10.12989/smm.2014.1.1.069
fatcat:t74ervyqcfbphfxz7exwnvkbfu
Subtle Hand Gesture Identification for HCI Using Temporal Decorrelation Source Separation BSS of Surface EMG
2007
9th Biennial Conference of the Australian Pattern Recognition Society on Digital Image Computing Techniques and Applications (DICTA 2007)
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The processing requires the decomposition of the surface EMG by temporal decorrelation source separation (TDSEP) based blind source separation technique. ...
The paper also highlights the importance of mixing matrix analysis in BSS technique. Digital Image Computing Techniques and Applications 0-7695-3067-2/07 $25.00 ...
without using TDSEP Blind source separation (Raw EMG). ...
doi:10.1109/dicta.2007.4426772
dblp:conf/dicta/NaikKWP07
fatcat:gr22swvobfgdlnkt235422pjyy
Special Issue on Advanced Cognitive Systems Based on Nonlinear Analysis
2013
Cognitive Computation
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Nonlinear analysis has made this task easier in areas like audio analysis, voice evaluation, quality of voice, blind source separation, expression detection and voice identification. ...
They used auditory-inspired anisotropic structuring elements applied to grayscale spectrograms not only for speech enhancement but also for automatic speech recognition. 2. ...
The papers in this issue were reviewed on two or three rounds of reviews. ...
doi:10.1007/s12559-013-9237-9
fatcat:gptndlpbcra4vivaq3c25ns4kq
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