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Moving Window Differential Evolution Independent Component Analysis-Based Operational Modal Analysis for Slow Linear Time-Varying Structures

Yongshuo Zong, Jinling Chen, Siyi Tao, Cheng Wang, Jianbing Xiahou, Chenxi Huang
2020 Scientific Programming  
differential evolution independent component analysis- (DEICA-) based OMA method for linear time invariant (LTI) structures.  ...  window differential evolution (DE) independent component analysis- (ICA-) based operational modal analysis (OMA) method is proposed in this paper.  ...  Based on the moving window [24] and independent component analysis [15] , this paper presents a moving window differential evolution independent component analysis-(MWDEICA-) based OMA method for weakly  ... 
doi:10.1155/2020/8879086 fatcat:flpyarhddremvgeica6t6arwnu

Perturbation methods in evolutionary spectral analysis for linear dynamics and equivalent statistical linearization

Thomas Canor, Luca Caracoglia, Vincent Denoël
2016 Probabilistic Engineering Mechanics  
Advantageously performed in a standard modal basis, this evolutionary spectral analysis for linear structures requires the computation of the modal impulse response matrix.  ...  The simulation-based framework is usually seen as the most convenient approach for both linear and nonlinear dynamics.  ...  Acknowledgments The first author is grateful to the National Fund for Scientific Research (F.R.S.-FNRS) of Belgium for its support.  ... 
doi:10.1016/j.probengmech.2016.07.001 fatcat:mj7miujywncetjwl4migarsuv4

Vibration Response-Based Damage Detection [chapter]

Maria Pina Limongelli, Emil Manoach, Said Quqa, Pier Francesco Giordano, Basuraj Bhowmik, Vikram Pakrashi, Alfredo Cigada
2021 Springer Aerospace Technology  
AbstractThis chapter aimed to present different data driven Vibration-Based Methods (VBMs) for Structural Health Monitoring (SHM).  ...  This family of methods, widely used for engineering applications, present several advantages for damage identification applications.  ...  Furthermore, structural behaviour should be linear and not vary over time.  ... 
doi:10.1007/978-3-030-72192-3_6 fatcat:5gqwlu2hxjb5jbxg6mvxdr5vgm

Data-driven multiscale decompositions for forecasting and model discovery [article]

Daniel Dylewsky, Molei Tao, J. Nathan Kutz
2019 arXiv   pre-print
Local linear models are built from windowed subsets of the data, and dominant time scales are discovered using spectral clustering on their eigenvalues.  ...  This approach produces time series data for each identified component, which sum to a faithful reconstruction of the input signal.  ...  Retroactive labeling of modal components of each windowed DMD identified in Step 1 with labelling based on the cluster assignments of their associated frequencies 4.  ... 
arXiv:1903.12480v1 fatcat:lszmz235hffblegkdlpotjafyy

Single-trial linear correlation analysis: application to characterization of stimulus modality effects

Christoforos Christoforou, Fofi Constantinidou, Panayiota Shoshilou, Panagiotis G. Simos
2013 Frontiers in Computational Neuroscience  
Single-trial analysis has been proposed as a novel method for characterizing such correlates by first extracting neural components that maximally discriminate trials on a categorical variable, (e.g., hard  ...  However, often times in experiment design it is difficult to either define meaningful categorical variables, or to record enough trials for the method to extract the discriminant components.  ...  Single-trial discriminant analysis seeks to identify a linear projection of multi-channel EEG signals, within a short time window, that maximally differentiates between trials from two behaviorally and  ... 
doi:10.3389/fncom.2013.00015 pmid:23508489 pmcid:PMC3600575 fatcat:loihlegq4zbh5llycjqhpi6e4u

Olfactory Influences on Visual Categorization: Behavioral and ERP Evidence

2020 Cerebral Cortex  
For congruent pairings, accuracy was higher for visual compared to olfactory decisions. However, for incongruent pairings, reaction times (RTs) were faster for olfactory decisions.  ...  Categorization of incongruent pairings engendered a late "slow wave" ERP effect.  ...  components analysis (ICA).  ... 
doi:10.1093/cercor/bhaa050 pmid:32232368 pmcid:PMC7264693 fatcat:5fdkqwalonaklcgrssekozpcgy

Data-Driven Partitioning of Power Networks Via Koopman Mode Analysis

Fredrik Raak, Yoshihiko Susuki, Takashi Hikihara
2016 IEEE Transactions on Power Systems  
The mathematical technique is called the Koopman Mode Analysis (KMA) and stems from a spectral analysis of the so-called Koopman operator.  ...  This paper applies a new technique for modal decomposition based solely on measurements to test systems and demonstrates the technique's capability for partitioning a power network, which determines the  ...  Ghandhari (KTH Royal Institute of Technology) for useful discussions and suggestions during his time at KTH. The authors are also grateful to Prof. I.  ... 
doi:10.1109/tpwrs.2015.2464779 fatcat:gu4fsa3qhrg6njqn7lz2dfeg3q

Sleep Spindles as an Electrographic Element: Description and Automatic Detection Methods

Dorothée Coppieters 't Wallant, Pierre Maquet, Christophe Phillips
2016 Neural Plasticity  
Thanks are due to the "sleep group" at the Cyclotron Research Centre for their support.  ...  Prior to feature extraction, potential events still have to be temporally segmented, for example, with a moving time window.  ...  The order of operations (spectral analysis and time-windowing) determines if the features extracted are of temporal (temporal analysis) or spectral (spectral analysis) nature.  ... 
doi:10.1155/2016/6783812 pmid:27478649 pmcid:PMC4958487 fatcat:7vmg2bu3azar5j47lf6fvinorm

Dynamic linear response of a shock/turbulent-boundary-layer interaction using constrained perturbations

Michael C. Adler, Datta V. Gaitonde
2018 Journal of Fluid Mechanics  
The analysis successfully illustrates how time-local linear dynamics sustain several key unsteady broadband flow features in a causal manner.  ...  The statistically stationary linear response is analysed to identify potential time-local and time-mean linear tendencies present in the unsteady base flow: these provide insight into the selective amplification  ...  connections to discrete (Chen, Tu & Rowley 2012 ); when DMD is performed on a linear system with a time-independent propagator, global modes result, and the time-independent linear Koopman operator,  ... 
doi:10.1017/jfm.2018.70 fatcat:gujnk7t36bdufpn3f7m26d5qeu

Semiconductor Optical Amplifier Nonlinearities and Their Applications for Next Generation of Optical Networks [chapter]

Youssef Said, Houria Rezig
2011 Advances in Optical Amplifiers  
In addition, an investigation of the impact of nonlinear effects on the SOA behavior in linear operating and saturation regimes will be reported.  ...  Consequently, it is shown that the azimuth and the ellipticity parameters of the output signal undergo changes according to injection conditions, i.e. by varying the operating wavelength, the input polarization  ...  In the linear operating regime, the SOA output polarization remains nearly independent of the input power.  ... 
doi:10.5772/13407 fatcat:r2z4jtleiffdjeb3kv7orgmvmy

Manifold Learning With Contracting Observers for Data-Driven Time-Series Analysis

Tal Shnitzer, Ronen Talmon, Jean-Jacques Slotine
2017 IEEE Transactions on Signal Processing  
In this paper, we propose a method for building an intrinsic representation of such signals in a purely data-driven manner.  ...  The effectiveness of the presented framework is demonstrated by applying it to a toy problem and to a music analysis application.  ...  APPENDIX A EIGENFUNCTION DYNAMICS In this appendix we show the derivation of the stochastic differential equation for the eigenfunctions of the backward Fokker-Planck operator presented in Section III-A  ... 
doi:10.1109/tsp.2016.2616334 fatcat:2lxaampqmvh6xgzczvulyhbofy

A Survey of Traveling Wave Protection Schemes in Electric Power Systems

Felipe Wilches-Bernal, Ali Bidram, Matthew J. Reno, Javier Hernandez-Alvidrez, Pedro Barba, Benjamin Reimer, Rudy Montoya, Christopher Carr, Olga Lavrova
2021 IEEE Access  
The proposed method accounts for the linear combinations of modal components rather than each independent modal component. The proposed method is verified on a 500 kV DC system using PSCAD/EMTDC.  ...  The third column in Table 1 refers to the ability of the presented methods to work in real-time. For real-time operations most methods require a window of data to operate.  ...  He was a key contributor of the team that was awarded the 2017 R&D 100 award for developing a control system for active damping of inter-area oscillations.  ... 
doi:10.1109/access.2021.3080234 fatcat:aoa232adrjcbhhohu5uotdhlqq

Rail Diagnostics Based on Ultrasonic Guided Waves: An Overview

Davide Bombarda, Giorgio Matteo Vitetta, Giovanni Ferrante
2021 Applied Sciences  
The second strategy, instead, is based on distributing the instrumentation throughout the entire rail network, so that continuous monitoring in quasi-real-time can be obtained.  ...  Rail tracks undergo massive stresses that can affect their structural integrity and produce rail breakage.  ...  and independent component analysis (ICA) [75] .  ... 
doi:10.3390/app11031071 fatcat:5f7rnefrqzb7xm5z4wbq2rljxq

Ensemble Inference Methods for Models With Noisy and Expensive Likelihoods [article]

Oliver R. A. Dunbar, Andrew B. Duncan, Andrew M. Stuart, Marie-Therese Wolfram
2022 arXiv   pre-print
Of particular interest is the case where the available forward model evaluations are subject to rapid fluctuations, in parameter space, superimposed on the smoothly varying large scale parametric structure  ...  This paper is concerned with the use of interacting particle systems for the solution of the resulting inverse problems for parameters.  ...  This may be seen by comparing the linear operator D(•, x), arising in the homogenized equation for ρ 0 with M(•).  ... 
arXiv:2104.03384v2 fatcat:xskk7dxnm5dttb4x42ab45edee

Signal processing techniques for motor imagery brain computer interface: A review

Swati Aggarwal, Nupur Chugh
2019 Array  
Many classification algorithms have been devised, among those Support Vector Machine (SVM) and Linear Discriminate Analysis (LDA) have been widely used.  ...  In recent studies, the researchers are using deep neural networks for the classification of motor imagery tasks.  ...  [40] briefly describe the feature extraction techniques, which are Principal Component Analysis (PCA), Independent Component Analysis (ICA), Auto Regressive Model (AR), Wavelet Transform (WT) and Wavelet  ... 
doi:10.1016/j.array.2019.100003 fatcat:tlkzqreshzgfpeusxub3f5h4bq
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