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Blind Source Separation Based Dynamic Parameter Identification of a Multi-Story Moment-Resisting Frame Building under Seismic Ground Motions

Agung Budipriyanto
2013 Procedia Engineering  
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

Bridget Martinez, Andre Green, Moises Felipe Silva, Yongchao Yang, David Mascareñas
2020 Sensors  
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

V.H. Nguyen, C. Rutten, J.-C. Golinval
2012 Shock and Vibration  
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]

Christophe Rutten, V. H. Nguyen, J. C. Golinval
2011 Springer Proceedings in Physics  
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]

Nguyen Viet Ha, Golinval Jean-Claude
2011 Sensors, Instrumentation and Special Topics, Volume 6  
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

Aiko Furukawa, Junji Kiyono, Hisanori Otsuka
2006 Journal of Applied Mechanics  
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

Chaojun Huang, Satish Nagarajaiah
2014 International Journal of Structural Stability and Dynamics  
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]

J. Antoni, S. Chauhan
2011 Structural Dynamics, Volume 3  
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

G. Kerschen, F. Poncelet, J.-C. Golinval
2007 Mechanical systems and signal processing  
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

Cheng Wang, Jianying Wang, Yiwen Zhang
2017 Journal of Vibroengineering  
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

Yongchao Yang, Satish Nagarajaiah
2013 Earthquake engineering & structural dynamics (Print)  
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

F. Poncelet, G. Kerschen, J.-C. Golinval, D. Verhelst
2007 Mechanical systems and signal processing  
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

Chaojun Huang, Satish Nagarajaiah
2014 Structural Monitoring and Maintenance  
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

Ganesh R. Naik, Dinesh K. Kumar, Hans Weghorn, Marimuthu Palaniswami
2007 9th Biennial Conference of the Australian Pattern Recognition Society on Digital Image Computing Techniques and Applications (DICTA 2007)  
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

Carlos M. Travieso, Jesús B. Alonso
2013 Cognitive Computation  
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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