@inproceedings{3d762fa78c4c41c2930ad33e4225d917,
title = "Intelligent system supporting non-destructive evaluation of SCC using eddy current test",
abstract = "Two premier issues in eddy current testing (EeT), that are, the automatic identification of cracks from their noisy backgrounds and sizing of cracks with complex morphologies, are dealt in this paper. A signal processing method based on statistical pattern recognition is established to realize automatic crack identification. And a new method for estimating crack depth is proposed by utilizing a new concept depth sizing index which is analytically constructed from raw measurement signals based on system optimization theory.",
author = "Shigeru Kanemoto and Weiying Cheng and Ichiro Komura and Mitsuharu Shiwa and Shigeaki Tsunoyama",
year = "2006",
doi = "10.1142/9789812774118_0105",
language = "English",
series = "Applied Artificial Intelligence - Proceedings of the 7th International FLINS Conference, FLINS 2006",
publisher = "World Scientific Publishing Co. Pte Ltd",
pages = "745--752",
editor = "Pierre D'Hondt and Kerre, {Etienne E.} and Da Ruan and {De Cock}, Martine and Mike Nachtegael and Fantoni, {Paolo F.}",
booktitle = "Applied Artificial Intelligence - Proceedings of the 7th International FLINS Conference, FLINS 2006",
address = "Singapore",
note = "Applied Artificial Intelligence - 7th International Fuzzy Logic and Intelligent Technologies in Nuclear Science Conference, FLINS 2006 ; Conference date: 29-08-2006 Through 31-08-2006",
}