Equivalent MFL model of pipelines for 3-D defect reconstruction using simulated annealing inversion procedure
暂无分享,去创建一个
[1] M. Kreutzbruck,et al. Fast defect parameter estimation based on magnetic flux leakage measurements with GMR sensors , 2011 .
[2] Ameet V. Joshi. Wavelet transform and neural network based 3D defect characterization using magnetic flux leakage , 2008 .
[3] Noritaka Yusa,et al. Some advances in numerical analysis techniques for quantitative electromagnetic nondestructive evaluation , 2009 .
[4] M. Nabi,et al. Improved FEM model for defect-shape construction from MFL signal by using genetic algorithm , 2007 .
[5] Wei Zhao,et al. The effect of the defect location on the finite element modelling of defect MFL fields , 2006 .
[6] Satoru Kobayashi,et al. Feasibility study of magnetic flux leakage method for condition monitoring of wall thinning on tube , 2010 .
[7] R. C. Ireland,et al. Finite element modelling of a circumferential magnetiser , 2006 .
[8] C. Magele,et al. Fast Magnetic Flux Leakage Signal Inversion for the Reconstruction of Arbitrary Defect Profiles in Steel Using Finite Elements , 2013, IEEE Transactions on Magnetics.
[9] Changlong Wang,et al. LS-SVMs-based reconstruction of 3-D defect profile from magnetic flux leakage signals , 2007 .
[10] N.K. Nikolova,et al. Machine Learning Techniques for the Analysis of Magnetic Flux Leakage Images in Pipeline Inspection , 2009, IEEE Transactions on Magnetics.
[11] J. Reilly,et al. Sizing of 3-D Arbitrary Defects Using Magnetic Flux Leakage Measurements , 2010, IEEE Transactions on Magnetics.
[12] Lalita Udpa,et al. Use of higher order statistics for enhancing magnetic flux leakage pipeline inspection data , 2007 .
[13] Lalita Udpa,et al. Electromagnetic NDE signal inversion by function-approximation neural networks , 2002 .