Inverse mapping of magnetic flux leakage signal for defect characterization
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[1] Stéphane Mallat,et al. A Theory for Multiresolution Signal Decomposition: The Wavelet Representation , 1989, IEEE Trans. Pattern Anal. Mach. Intell..
[2] G. P. Srivastava,et al. Empirical structure for characterizing metal loss defects from radial magnetic flux leakage signal , 2010 .
[3] D Marr,et al. Theory of edge detection , 1979, Proceedings of the Royal Society of London. Series B. Biological Sciences.
[4] John S. Baras,et al. Properties of the multiscale maxima and zero-crossings representations , 1993, IEEE Trans. Signal Process..
[5] Stephen A. Billings,et al. A new class of wavelet networks for nonlinear system identification , 2005, IEEE Transactions on Neural Networks.
[6] Jay A. Farrell,et al. Wavelet-based system identification for nonlinear control , 1999, IEEE Trans. Autom. Control..
[7] Marco Gori,et al. On the problem of local minima in recurrent neural networks , 1994, IEEE Trans. Neural Networks.
[8] R. Ghanem,et al. A WAVELET-BASED APPROACH FOR THE IDENTIFICATION OF LINEAR TIME-VARYING DYNAMICAL SYSTEMS , 2000 .
[9] Ikhlas Abdel-Qader,et al. ANALYSIS OF EDGE-DETECTION TECHNIQUES FOR CRACK IDENTIFICATION IN BRIDGES , 2003 .
[10] Jozef Vörös,et al. Parameter identification of Wiener systems with multisegment piecewise-linear nonlinearities , 2007, Syst. Control. Lett..
[11] Martin Vetterli,et al. Discrete-time wavelet extrema representation: design and consistent reconstruction , 1995, IEEE Trans. Signal Process..
[12] Roberto Kawakami Harrop Galvão,et al. Wavelet-packet identification of dynamic systems in frequency subbands , 2006, Signal Process..
[13] Stéphane Mallat,et al. Characterization of Signals from Multiscale Edges , 2011, IEEE Trans. Pattern Anal. Mach. Intell..
[14] Stéphane Mallat,et al. Zero-crossings of a wavelet transform , 1991, IEEE Trans. Inf. Theory.
[15] Lennart Ljung,et al. System identification (2nd ed.): theory for the user , 1999 .
[16] Tao Jin,et al. Designing and signal processing of intelligent inspection pig applying magnetic flux leakage methods , 2004, 2004 International Conference on Intelligent Mechatronics and Automation, 2004. Proceedings..
[17] Marco S. Reis,et al. A multiscale empirical modeling framework for system identification , 2009 .
[18] Gui Yun Tian,et al. 3D magnetic field sensing for magnetic flux leakage defect characterisation , 2006 .
[19] Vikram M. Gadre,et al. Function learning using wavelet neural networks , 2000, Proceedings of IEEE International Conference on Industrial Technology 2000 (IEEE Cat. No.00TH8482).
[20] G. P. Srivastava,et al. Characterisation of metal loss defects from magnetic flux leakage signals with discrete wavelet transform , 2000 .
[21] John Mason,et al. Experimental study to differentiate between top and bottom defects for MFL tank floor inspections , 2009 .