Machine learning at the interface of structural health monitoring and non-destructive evaluation
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N. Dervilis | K. Worden | R. Fuentes | P. Gardner | C. Mineo | S.G. Pierce | E.J. Cross | K. Worden | S. Pierce | E. Cross | N. Dervilis | R. Fuentes | P. Gardner | K. Worden | C. Mineo
[1] Jafar Saniie,et al. Data compression and noise suppression of ultrasonic NDE signals using wavelets , 2003, IEEE Symposium on Ultrasonics, 2003.
[2] Keith Worden,et al. An Overview of Intelligent Fault Detection in Systems and Structures , 2004 .
[3] T. J. Rogers,et al. Probabilistic active learning: An online framework for structural health monitoring , 2019, Mechanical Systems and Signal Processing.
[4] Keith Worden,et al. A probabilistic compressive sensing framework with applications to ultrasound signal processing , 2019, Mechanical Systems and Signal Processing.
[5] Keith Worden,et al. Aircraft Parametric Structural Load Monitoring Using Gaussian Process Regression , 2014 .
[6] Radford M. Neal. Pattern Recognition and Machine Learning , 2007, Technometrics.
[7] Bernhard Schölkopf,et al. Nonlinear Component Analysis as a Kernel Eigenvalue Problem , 1998, Neural Computation.
[8] Paul D. Wilcox,et al. Strategies for guided-wave structural health monitoring , 2007, Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences.
[9] Ivor W. Tsang,et al. Domain Adaptation via Transfer Component Analysis , 2009, IEEE Transactions on Neural Networks.
[10] Daniel Massicotte,et al. Ultrasonic NDE of composite material structures using wavelet coefficients , 2001 .
[11] P. Wilcox,et al. Post-processing of the full matrix of ultrasonic transmit-receive array data for non-destructive evaluation , 2005 .
[12] Bernhard Schölkopf,et al. A Kernel Two-Sample Test , 2012, J. Mach. Learn. Res..
[13] R. Y. Chiao,et al. Analytic evaluation of sampled aperture ultrasonic imaging techniques for NDE , 1994, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.
[14] Gyuhae Park,et al. Structural Health Monitoring With Autoregressive Support Vector Machines , 2009 .
[15] Donald R. Jones,et al. Efficient Global Optimization of Expensive Black-Box Functions , 1998, J. Glob. Optim..
[16] Rune Brincker,et al. Vibration Based Inspection of Civil Engineering Structures , 1993 .
[17] Jung-Ryul Lee,et al. Structural imaging through local wavenumber estimation of guided waves , 2013 .
[18] A. McNab,et al. Ultrasonic phased arrays for nondestructive testing , 1987 .
[19] Constantinos Soutis,et al. Damage detection in composite materials using lamb wave methods , 2002 .
[20] Robert Bogue,et al. Industrial Robot : An International Journal The role of robotics in non-destructive testing , 2016 .
[21] W. B. Johnson,et al. Extensions of Lipschitz mappings into Hilbert space , 1984 .
[22] Valerijan Cokonaj,et al. Ultrasonic wave-based structural health monitoring embedded instrument. , 2013, The Review of scientific instruments.
[23] Rik Van de Walle,et al. Deep Learning for Infrared Thermal Image Based Machine Health Monitoring , 2017, IEEE/ASME Transactions on Mechatronics.
[24] Keith Worden,et al. Experimental validation of a structural health monitoring methodology: Part III. Damage location on an aircraft wing , 2003 .
[25] Kevin P. Murphy,et al. Machine learning - a probabilistic perspective , 2012, Adaptive computation and machine learning series.
[26] Carmelo Mineo,et al. Autonomous ultrasonic inspection using Bayesian optimisation and robust outlier analysis , 2020, Mechanical Systems and Signal Processing.
[27] Gyuhae Park,et al. Damage detection on composite structures with standing wave excitation and wavenumber analysis , 2017 .
[28] Minghui Li,et al. Ultrasound Nondestructive Evaluation (NDE) Imaging with Transducer Arrays and Adaptive Processing , 2011, Sensors.
[29] Qiang Yang,et al. A Survey on Transfer Learning , 2010, IEEE Transactions on Knowledge and Data Engineering.
[30] Elizabeth Cross,et al. Prediction of landing gear loads using machine learning techniques , 2012 .
[31] Michael E. Tipping. The Relevance Vector Machine , 1999, NIPS.
[32] Rahul Summan,et al. Flexible integration of robotics, ultrasonics and metrology for the inspection of aerospace components , 2017 .
[33] Carl E. Rasmussen,et al. Gaussian processes for machine learning , 2005, Adaptive computation and machine learning.
[34] Jochen H Kurz,et al. Strategies for reliable automatic onset time picking of acoustic emissions and of ultrasound signals in concrete. , 2005, Ultrasonics.
[35] Katrien van Driessen,et al. A Fast Algorithm for the Minimum Covariance Determinant Estimator , 1999, Technometrics.
[36] Charles R. Farrar,et al. Structural Health Monitoring: A Machine Learning Perspective , 2012 .
[37] William J. Norton. Part III , 1916, Transactions of the American Institute of Electrical Engineers.
[38] Keith Worden,et al. A Bayesian non-parametric clustering approach for semi-supervised Structural Health Monitoring , 2019, Mechanical Systems and Signal Processing.
[39] Robert X. Gao,et al. Deep learning and its applications to machine health monitoring , 2019, Mechanical Systems and Signal Processing.
[40] Keith Worden,et al. On the application of domain adaptation in structural health monitoring , 2020, Mechanical Systems and Signal Processing.
[41] Philip S. Yu,et al. Transfer Feature Learning with Joint Distribution Adaptation , 2013, 2013 IEEE International Conference on Computer Vision.