An improved feature extraction algorithm for automatic defect identification based on eddy current pulsed thermography

[1]  Paul Geladi,et al.  Principal Component Analysis , 1987, Comprehensive Chemometrics.

[2]  Jianzhong Wang,et al.  Excavation Equipment Recognition Based on Novel Acoustic Statistical Features , 2017, IEEE Transactions on Cybernetics.

[3]  Jianzhong Wang,et al.  Excavation equipment classification based on improved MFCC features and ELM , 2017, Neurocomputing.

[4]  Xiaofang Wang,et al.  Bayesian wavelet PCA methodology for turbomachinery damage diagnosis under uncertainty , 2016 .

[5]  Kai Zhang,et al.  Extreme learning machine and adaptive sparse representation for image classification , 2016, Neural Networks.

[6]  Leandro Bezerra Marinho,et al.  Classification of induced magnetic field signals for the microstructural characterization of sigma phase in duplex stainless steels , 2016 .

[7]  Yoshiro Suzuki,et al.  Analytical solutions to eddy current in carbon fiber-reinforced composites induced by line current , 2016 .

[8]  Yuhua Cheng,et al.  A magnetic domain spots filtering method with self-adapting threshold value selecting for crack detection based on the MOI , 2016 .

[9]  K. Szielasko,et al.  Magnetic Sensor Principle for Susceptibility Imaging of Para- and Diamagnetic Materials , 2016 .

[10]  Wai Lok Woo,et al.  Electromagnetic Thermography Nondestructive Evaluation: Physics-based Modeling and Pattern Mining , 2016, Scientific Reports.

[11]  Xuegang Huang,et al.  Hypervelocity impact of TiB2-based composites as front bumpers for space shield applications , 2016 .

[12]  Yunze He,et al.  Polymer-matrix composites carbon fibre characterisation and damage inspection using selectively heating thermography (SeHT) through electromagnetic induction , 2016 .

[13]  Tat-Hean Gan,et al.  Portable Automated Radio-Frequency Scanner for Non-destructive Testing of Carbon-Fibre-Reinforced Polymer Composites , 2016 .

[14]  Nanning Zheng,et al.  Generalized Correntropy for Robust Adaptive Filtering , 2015, IEEE Transactions on Signal Processing.

[15]  Fan Yang,et al.  ICA fusion approach based on fuzzy using in eddy current pulsed thermography , 2016 .

[16]  Rui Li,et al.  An efficient algorithm for harmonic retrieval by combining blind source separation with wavelet packet decomposition , 2015, Digit. Signal Process..

[17]  Cheng Wei Li,et al.  Feature extraction method of bearing AE signal based on improved FAST-ICA and wavelet packet energy , 2015 .

[18]  Shu Liang,et al.  A novel algorithm on adaptive backstepping control of fractional order systems , 2015, Neurocomputing.

[19]  Y. Chen,et al.  Adaptive fractional-order switching-type control method design for 3D fractional-order nonlinear systems , 2015 .

[20]  Bashir I. Morshed,et al.  Unsupervised Eye Blink Artifact Denoising of EEG Data with Modified Multiscale Sample Entropy, Kurtosis, and Wavelet-ICA , 2015, IEEE Journal of Biomedical and Health Informatics.

[21]  Shouming Zhong,et al.  Fractional-order sliding mode based extremum seeking control of a class of nonlinear systems , 2014, Autom..

[22]  António M. Lopes,et al.  Analysis of temperature time-series: Embedding dynamics into the MDS method , 2014, Commun. Nonlinear Sci. Numer. Simul..

[23]  Badong Chen,et al.  Quantized Kernel Recursive Least Squares Algorithm , 2013, IEEE Transactions on Neural Networks and Learning Systems.

[24]  W. L. Woo,et al.  Physical interpretation and separation of eddy current pulsed thermography , 2013 .

[25]  João Marcos Travassos Romano,et al.  Chaos-based communication systems in non-ideal channels , 2012 .

[26]  Feilu Luo,et al.  Defect characterisation using pulsed eddy current thermography under transmission mode and NDT applications , 2012 .

[27]  J. Tavares,et al.  Thermal aging effects on the microstructure of Nb-bearing nickel based superalloy weld overlays using ultrasound techniques , 2012 .

[28]  Badong Chen,et al.  Survival Information Potential: A New Criterion for Adaptive System Training , 2012, IEEE Transactions on Signal Processing.

[29]  Badong Chen,et al.  Quantized Kernel Least Mean Square Algorithm , 2012, IEEE Transactions on Neural Networks and Learning Systems.

[30]  Yi Zhou,et al.  A combined approach of self-referencing and Principle Component Thermography for transient, steady, and selective heating scenarios , 2010 .

[31]  Addisson Salazar,et al.  Learning material defect patterns by separating mixtures of independent component analyzers from NDT sonic signals , 2010 .

[32]  V. G. Reju,et al.  Partial separation method for solving permutation problem in frequency domain blind source separation of speech signals , 2008, Neurocomputing.

[33]  Tuomas Virtanen,et al.  Monaural Sound Source Separation by Nonnegative Matrix Factorization With Temporal Continuity and Sparseness Criteria , 2007, IEEE Transactions on Audio, Speech, and Language Processing.

[34]  Ermanno G. Grinzato,et al.  Statistical analysis of IR thermographic sequences by PCA , 2004 .

[35]  D. Almond,et al.  Transient thermography in the assessment of defects of aircraft composites , 2003 .

[36]  Nik Rajic,et al.  Principal component thermography for flaw contrast enhancement and flaw depth characterisation in composite structures , 2002 .

[37]  Xavier Maldague,et al.  Theory and Practice of Infrared Technology for Nondestructive Testing , 2001 .

[38]  Christian Jutten,et al.  Blind separation of sources, part I: An adaptive algorithm based on neuromimetic architecture , 1991, Signal Process..