2010
DOI: 10.1007/s00138-010-0260-5
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Multi-modal defect detection of residual oxide scale on a cold stainless steel strip

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Cited by 26 publications
(17 citation statements)
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“…In force of these considerations, the actual research on ECT is considering excitation signals containing wideband spectrums instead of the sinusoidal ones. To this aim some emerging techniques based on the use of multi-frequency, pulsed, chirp, and pseudo-noise signals, to cite a few, are proposed in literature as alternatives to traditional ECT signals in order to, primarily, improve the sensitivity of defect detection in some particular application field, and especially for small cracks, embedded deep in layered components [2][3][4][5][6][7][8][9][10][11][12][13]. Each one of these considered excitation signals present advantages and disadvantages that prevent the election of an absolute best excitation signal.…”
Section: Abstract Eddy Current Testing (Ect) Is a Nonmentioning
confidence: 99%
See 1 more Smart Citation
“…In force of these considerations, the actual research on ECT is considering excitation signals containing wideband spectrums instead of the sinusoidal ones. To this aim some emerging techniques based on the use of multi-frequency, pulsed, chirp, and pseudo-noise signals, to cite a few, are proposed in literature as alternatives to traditional ECT signals in order to, primarily, improve the sensitivity of defect detection in some particular application field, and especially for small cracks, embedded deep in layered components [2][3][4][5][6][7][8][9][10][11][12][13]. Each one of these considered excitation signals present advantages and disadvantages that prevent the election of an absolute best excitation signal.…”
Section: Abstract Eddy Current Testing (Ect) Is a Nonmentioning
confidence: 99%
“…For each frequency α {f ,αÎ [1,10]} a 2D image that visualizes for each point {(x,y):xÎ [1,41],yÎ [1,31]} the amplitude of the "normalized" transfer function ˆα α α…”
Section: Post Processing For the Multi-frequency Signalsmentioning
confidence: 99%
“…[1][2][3][4] These methods are especially effective for surface defect images with local intensity variations. Since surface properties of the raw steel affect the quality of the final products, various automatic methods for detecting surface defects have been developed recently.…”
Section: Introductionmentioning
confidence: 99%
“…The detection of defects is tackled with visual inspection systems based on standard cameras, lighting, and optical components, but they are developed to operate only in highly structured environments (Batchelor & Whelan, 1997; Pham & Alcock, 2003; Cognex, 2010; Parsytec, 2010). In the industries related to laminated materials, the machine vision wizards assist to manually select the surface inspection type and to create the image processing applications (NeuroCheck, 2010), and most only use visual systems to inspect both rough and bright laminated material surfaces (Guinea et al ., 2000; Montúfar‐Chaveznava et al ., 2001; Preciado et al . 2001; Spínola et al ., 2008; Martin et al ., 2010).…”
Section: Introductionmentioning
confidence: 99%