Signal analysis of electromagnetic defectoscopy of rails by non-stationary statistic methods
An example of using the statistical analysis for detection and classification of rail defects from logged signals of magnetic-dynamic inspection train is provided in this paper.
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creator | Isayev Javorskij Nichoga Trokhym |
description | An example of using the statistical analysis for detection and classification of rail defects from logged signals of magnetic-dynamic inspection train is provided in this paper. |
format | Conference Proceeding |
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identifier | ISBN: 9660228880 |
ispartof | Proceedings of 8th International Seminar/Workshop on Direct and Inverse Problems of Electromagnetic and Acoustic Wave Theory DIPED 2003, 2003, p.219-224 |
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language | eng |
recordid | cdi_ieee_primary_1249834 |
source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Electromagnetic analysis Inspection Magnetic heads Predictive models Rails Random processes Signal analysis Signal processing Statistical analysis Stochastic processes |
title | Signal analysis of electromagnetic defectoscopy of rails by non-stationary statistic methods |
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