2012
DOI: 10.1109/jsen.2012.2184280
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Steel Corrosion Characterization Using Pulsed Eddy Current Systems

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Cited by 179 publications
(99 citation statements)
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“…The maximum of B is extracted as first feature (max(B)), which can represent the magnetic field intensity. If the material under test is a ferromagnetic material, this feature can represent the permeability of material and there is a positive monotonic relationship between max(B) and permeability [19]. For non-magnetic material, permeability is unity and PEC response is mainly affected by conductivity, lift-off and other parameters.…”
Section: Pec Feature Extractionmentioning
confidence: 99%
See 1 more Smart Citation
“…The maximum of B is extracted as first feature (max(B)), which can represent the magnetic field intensity. If the material under test is a ferromagnetic material, this feature can represent the permeability of material and there is a positive monotonic relationship between max(B) and permeability [19]. For non-magnetic material, permeability is unity and PEC response is mainly affected by conductivity, lift-off and other parameters.…”
Section: Pec Feature Extractionmentioning
confidence: 99%
“…Pulsed eddy current (PEC) technique is an important advance over other EC methods, which has been proved as an effective tool for flaw detection and corrosion detection in metals [15][16][17]. In previous works, various features are selected and used to represent the conductivity change by stress in aluminium [18] and permeability variation in steel corrosion [19]. In this paper, scanning PEC is applied in detection and evaluation of defects in CFRP laminates and honeycomb sandwich panels, and appropriate features are extracted to characterise the surface impact defects and inner delamination.…”
Section: Introductionmentioning
confidence: 99%
“…Recent developments for monitoring atmospheric corrosion including using electric resistance sensors [30,31], pulsed Eddy current testing (ECT) [32], and passive wireless sensors [33]. In addition to new methods, in order to develop the atmospheric corrosion monitoring (ACM) sensor, many researchers also investigated various characteristics of corrosion.…”
Section: Introductionmentioning
confidence: 99%
“…A difference in the levels of magnetic field penetration can be correlated to the existence of local flaws or defects [12]. The flaw can be due to corrosion, weld defects, cracks, fatigue, or deformation [13], [14], [15]. The resultant data collected from this process is typically characterized by low signal to noise ratio.…”
Section: Introductionmentioning
confidence: 99%