1997
DOI: 10.1016/s0963-8695(96)00075-8
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Wavelet-based permeability compensation technique for characterizing magnetic flux leakage images

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Cited by 21 publications
(9 citation statements)
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“…Since early 1990s, Udpa’s Materials Assessment group at Iowa State University (now Nondestructive Evaluation Laboratory at Michigan State University) were one of the pioneering groups in the US conducting MFL inspection and imaging research [ 7 10 ].…”
Section: Techniques Based On Different Electromagnetic Frequenciesmentioning
confidence: 99%
See 1 more Smart Citation
“…Since early 1990s, Udpa’s Materials Assessment group at Iowa State University (now Nondestructive Evaluation Laboratory at Michigan State University) were one of the pioneering groups in the US conducting MFL inspection and imaging research [ 7 10 ].…”
Section: Techniques Based On Different Electromagnetic Frequenciesmentioning
confidence: 99%
“…Mandayam and Udpa developed several novel but general techniques for deriving selective image invariants and performing invariance transformations to compensate for such variations. For example, wavelet basis functions can be used and typical magnetic flux leakage images obtained from finite element (FE) simulation of the pipeline inspection process are presented in their paper [ 7 ].…”
Section: Techniques Based On Different Electromagnetic Frequenciesmentioning
confidence: 99%
“…The WBF network architecture is similar to that of the MLP network and it uses wavelets for functional approximation and can be expressed using Equation (1) [7].…”
Section: Characterization Of Mechanical Damagementioning
confidence: 99%
“…Nondestructive testing (NDT) techniques are often used in SHM. The most commonly used NDT methods like X-ray [1] , eddy current [2] and magnetic flux [3] methods can also be used in cylindrical structure health monitoring. But because of their point-to-point inspection scheme and human efforts involved during inspection, such methods cannot be cost effective when applied widely on structures that cover large areas such as pipelines.…”
Section: Introductionmentioning
confidence: 99%