Nonlinear system identification method for structural health monitoring : techniques for the detection of nonlinear indicators

[1]  Wei-Xin Ren,et al.  Wavelet packet based damage identification of beam structures , 2005 .

[2]  Andrew L. Rukhin,et al.  Analysis of Time Series Structure SSA and Related Techniques , 2002, Technometrics.

[3]  F. J. Alonso,et al.  Application of singular spectrum analysis to the smoothing of raw kinematic signals. , 2005, Journal of biomechanics.

[4]  Stéphane Mallat,et al.  Singularity detection and processing with wavelets , 1992, IEEE Trans. Inf. Theory.

[5]  A. Walden,et al.  The Hilbert spectrum via wavelet projections , 2004, Proceedings of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences.

[6]  Chih-Chen Chang,et al.  Structural Damage Assessment Based on Wavelet Packet Transform , 2002 .

[7]  Charles R. Farrar,et al.  A summary review of vibration-based damage identification methods , 1998 .

[8]  C. Torrence,et al.  A Practical Guide to Wavelet Analysis. , 1998 .

[9]  S. Mallat.  A wavelet tour of signal processing , 1998 .

[10]  Biswajit Basu,et al.  Investigation of the seismic response of braced frames using wavelet analysis , 2007 .

[11]  Boualem Boashash,et al.  Estimating and interpreting the instantaneous frequency of a signal. II. A/lgorithms and applications , 1992, Proc. IEEE.

[12]  Mustafa Gul,et al.  Conceptual damage-sensitive features for structural health monitoring: Laboratory and field demonstrations , 2008 .

[13]  Ronald R. Coifman,et al.  Entropy-based algorithms for best basis selection , 1992, IEEE Trans. Inf. Theory.

[14]  Y. Wen.  Method for Random Vibration of Hysteretic Systems , 1976 .

[15]  Dennis Gabor,et al.  Theory of communication , 1946 .

[16]  Aboelmagd Noureldin,et al.  Wavelet Transform for Structural Health Monitoring: A Compendium of Uses and Features , 2006 .

[17]  A. Grossmann,et al.  DECOMPOSITION OF HARDY FUNCTIONS INTO SQUARE INTEGRABLE WAVELETS OF CONSTANT SHAPE , 1984 .

[18]  Darryll J. Pines,et al.  Structural health monitoring using empirical mode decomposition and the Hilbert phase , 2006 .

[19]  Yan Wang,et al.  A Two-Step Structural Damage Detection Approach Based on Wavelet Packet Analysis and Neural Network , 2006, 2006 International Conference on Machine Learning and Cybernetics.

[20]  Geoffrey R. Tomlinson,et al.  Use of the Hilbert transform in modal analysis of linear and non-linear structures , 1984 .

[21]  Massimo Ruzzene,et al.  NATURAL FREQUENCIES AND DAMPINGS IDENTIFICATION USING WAVELET TRANSFORM: APPLICATION TO REAL DATA , 1997 .

[22]  Biswajit Basu.  Identification of stiffness degradation in structures using wavelet analysis , 2005 .

[23]  Gangbing Song,et al.  Damage diagnosis of framework structure based on wavelet packet analysis and neural network , 2004, SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring.

[24]  Douglas E. Adams,et al.  Identification of damage in a suspension component using narrowband and broadband nonlinear signal processing techniques , 2007, SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring.

[25]  L. H. Yam,et al.  Vibration-based damage detection for composite structures using wavelet transform and neural network identification , 2003 .

[26]  Chih-Chen Chang,et al.  Tracking time-varying properties of hysteretic structure by wavelet multi-resolution analysis , 2008, SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring.

[27]  Michael Feldman,et al.  Non-linear system vibration analysis using Hilbert transform--II. Forced vibration analysis method 'Forcevib' , 1994 .

[28]  S. Mallat.  Multiresolution approximations and wavelet orthonormal bases of L^2(R) , 1989 .

[29]  I. Daubechies.  Orthonormal bases of compactly supported wavelets , 1988 .

[30]  Jan Swevers,et al.  Summary and comparing overview of techniques for the detection of non-linear distortions , 2002 .

[31]  Maria Papadopouli,et al.  Trend forecasting based on Singular Spectrum Analysis of traffic workload in a large-scale wireless LAN , 2009, Perform. Evaluation.

[32]  Fulei Chu,et al.  Application of the wavelet transform in machine condition monitoring and fault diagnostics: a review with bibliography , 2004 .

[33]  K. Worden,et al.  Past, present and future of nonlinear system identification in structural dynamics , 2006 .

[34]  M. Yar,et al.  Parameter estimation for hysteretic systems , 1987 .

[35]  Luis E. Suarez,et al.  Applications of wavelet transforms to damage detection in frame structures , 2004 .

[36]  James M. W. Brownjohn,et al.  DETECTION OF ANOMALOUS STRUCTURAL BEHAVIOUR USING WAVELET ANALYSIS , 2002 .

[37]  Gary G. Yen,et al.  Wavelet packet feature extraction for vibration monitoring , 2000, IEEE Trans. Ind. Electron..

[38]  Paul R. White,et al.  BISPECTRAL ANALYSIS OF THE BILINEAR OSCILLATOR WITH APPLICATION TO THE DETECTION OF FATIGUE CRACKS , 1998 .