Title :
Estimation of multiple surface cracks parameters using MFL testing
Author :
Ravan, M. ; Amineh, R.K. ; Koziel, S. ; Nikolova, N.K. ; Reilly, J.P.
Author_Institution :
Dept. of Electr. & Comput. Eng., McMaster Univ., Hamilton, ON, Canada
Abstract :
This paper presents an approach to estimate the characteristics of multiple narrow-opening cracks from magnetic flux leakage signals. The locations, orientations, lengths and depths of the cracks are the objective of the inversion process. This procedure provides a reliable estimation of crack parameters in two separate subsequent steps. In the first step, the Canny edge detection algorithm is used to estimate the locations, orientations and lengths of cracks. Then, an inversion procedure based on space mapping (SM) is applied to estimate the cracks depths efficiently. The accuracy of the proposed inversion technique is examined with two different arrangements of multiple cracks.
Keywords :
edge detection; inversion layers; magnetic flux; magnetic leakage; materials testing; nondestructive testing; parameter estimation; surface cracks; Canny edge detection algorithm; MFL testing; inversion procedure; inversion process; location estimation; magnetic flux leakage signal; multiple narrow opening cracks characteristic; multiple surface crack parameter estimation; space mapping; Image edge detection; Magnetic flux leakage; Magnetic resonance imaging; Magnetostatics; Optimization; Surface cracks;
Conference_Titel :
Electromagnetic Theory (EMTS), 2010 URSI International Symposium on
Conference_Location :
Berlin
Print_ISBN :
978-1-4244-5155-5
Electronic_ISBN :
978-1-4244-5154-8
DOI :
10.1109/URSI-EMTS.2010.5637340