A comprehensive study of the delay vector variance method for quantification of nonlinearity in dynamical systems
暂无分享,去创建一个
B Basu | V Jaksic | D P Mandic | K Ryan | V Pakrashi | K. Ryan | D. Mandic | V. Pakrashi | V. Jaksic | B. Basu
[1] T. Schreiber,et al. Surrogate time series , 1999, chao-dyn/9909037.
[2] D. Mandic,et al. Dynamic response mitigation of floating wind turbine platforms using tuned liquid column dampers , 2015, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.
[3] James Theiler,et al. Testing for nonlinearity in time series: the method of surrogate data , 1992 .
[4] Mehdi Khosrow-Pour,et al. Printed at: , 2011 .
[5] Fuliang Yin,et al. Diesel Engine Fault Information Acquisition Based on Delay Vector Variance Method , 2009, 2009 Second International Symposium on Knowledge Acquisition and Modeling.
[6] He Pei-yu. Detecting the Nonlinear Determinism of a Room Acoustic System Using Surrogates , 2007 .
[7] Miguel Angel Torres-Arredondo,et al. Damage and nonlinearities detection in wind turbine blades based on strain field pattern recognition. FBGs, OBR and strain gauges comparison , 2016 .
[8] Michael Small,et al. Testing for Linear and Nonlinear Gaussian Processes in Nonstationary Time Series , 2015, Int. J. Bifurc. Chaos.
[9] Danilo P. Mandic,et al. A differential entropy based method for determining the optimal embedding parameters of a signal , 2003, 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)..
[10] D. Ruelle,et al. Recurrence Plots of Dynamical Systems , 1987 .
[11] Yourong Li,et al. Detecting the Nonlinearity in Time Series from Continuous Dynamic Systems Based on Delay Vector Variance Method , 2007 .
[12] M. Hulle,et al. The Delay Vector Variance Method for Detecting Determinism and Nonlinearity in Time Series , 2004 .
[13] D. Kugiumtzis,et al. Test your surrogate data before you test for nonlinearity. , 1999, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.
[14] H. Abarbanel,et al. Determining embedding dimension for phase-space reconstruction using a geometrical construction. , 1992, Physical review. A, Atomic, molecular, and optical physics.
[15] Srinivas Kuntamalla,et al. The Effect of Aging on Nonlinearity and Stochastic Nature of Heart Rate Variability Signal Computed using Delay Vector Variance Method , 2011 .
[16] Charles R. Farrar,et al. Structural Health Monitoring: A Machine Learning Perspective , 2012 .
[17] J. Murphy,et al. Dynamic response signatures of a scaled model platform for floating wind turbines in an ocean wave basin , 2015, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.
[18] Vikram Pakrashi,et al. Hurst exponent footprints from activities on a large structural system , 2013 .
[19] F. Takens. Detecting strange attractors in turbulence , 1981 .
[20] Mustafa Gul,et al. Statistical pattern recognition for Structural Health Monitoring using time series modeling: Theory and experimental verifications , 2009 .
[21] Rune Brincker,et al. Vibration Based Inspection of Civil Engineering Structures , 1993 .
[22] Alfonso M Albano,et al. Phase-randomized surrogates can produce spurious identifications of non-random structure , 1994 .
[23] Carlo Rainieri,et al. Development and validation of an automated operational modal analysis algorithm for vibration-based monitoring and tensile load estimation , 2015 .
[24] T. Schreiber. Interdisciplinary application of nonlinear time series methods , 1998, chao-dyn/9807001.
[25] Michael Small,et al. Testing for nonlinearity in irregular fluctuations with long-term trends. , 2006, Physical review. E, Statistical, nonlinear, and soft matter physics.
[26] Rui Guo,et al. Nonlinear Analysis in TCM Acoustic Diagnosis Using Delay Vector Variance , 2008, International Conferences on Biomedical and Bioinformatics Engineering.
[27] D.P Mandic,et al. On the characterization of the deterministic/stochastic and linear/nonlinear nature of time series , 2008, Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences.
[28] T. Schreiber,et al. Discrimination power of measures for nonlinearity in a time series , 1997, chao-dyn/9909043.
[29] M. Casdagli. Chaos and Deterministic Versus Stochastic Non‐Linear Modelling , 1992 .
[30] Schreiber,et al. Improved Surrogate Data for Nonlinearity Tests. , 1996, Physical review letters.
[31] Holger Kantz,et al. Practical implementation of nonlinear time series methods: The TISEAN package. , 1998, Chaos.
[32] Vikram Pakrashi,et al. Estimation of nonlinearities from pseudodynamic and dynamic responses of bridge structures using the Delay Vector Variance method , 2016 .
[33] Carlo Rainieri,et al. Integrated seismic early warning and structural health monitoring of critical civil infrastructures in seismically prone areas , 2011 .
[34] Yi Zhao,et al. Evidence Consistent with Deterministic Chaos in Human Cardiac Data: Surrogate and Nonlinear Dynamical Modeling , 2008, Int. J. Bifurc. Chaos.
[35] Vikram Pakrashi,et al. Damage detection and calibration from beam–moving oscillator interaction employing surface roughness , 2014 .
[36] Vikram Pakrashi,et al. A Delay Vector Variance based Marker for an Output-Only Assessment of Structural Changes in Tension Leg Platforms , 2015 .
[37] Danilo P. Mandic,et al. Signal nonlinearity in fMRI: a comparison between BOLD and MION , 2003, IEEE Transactions on Medical Imaging.
[38] Danilo P Mandic,et al. Indications of nonlinear structures in brain electrical activity. , 2003, Physical review. E, Statistical, nonlinear, and soft matter physics.
[39] Danilo P. Mandic,et al. Recurrent Neural Networks for Prediction: Learning Algorithms, Architectures and Stability , 2001 .
[40] L. Györfi,et al. Nonparametric entropy estimation. An overview , 1997 .
[41] Mahir Ülker-Kaustell,et al. Application of the continuous wavelet transform on the free vibrations of a steel–concrete composite railway bridge , 2011 .
[42] Danilo P. Mandic,et al. Recurrent Neural Networks for Prediction: Learning Algorithms, Architectures and Stability , 2001 .
[43] D. T. Kaplan,et al. Exceptional events as evidence for determinism , 1994 .