Design and optimisation of mutual inductance based pulsed eddy current probe

Ona, Denis Ijike; Tian, Gui Yun; Sutthaweekul, Ruslee; Naqvi, Syed Mohsen

doi:10.1016/j.measurement.2019.04.091

Cited by 57 publications

(23 citation statements)

References 24 publications

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“…After coil processing, the outer radius of transmitter and receiver coils was 1.25 and 1.50 mm, respectively. In addition, the sensitivity decreases and the lift-off resistance increases with the increase in coil gap (Ona et al, 2019). After testing, the receiving coil voltage was greatest at the smallest coil gap of 2.75 mm and almost zero when the coil gap was greater than 10.00 mm.…”

Section: Experimental Setup and Materialsmentioning

confidence: 93%

A Deep Belief network and Least Squares Support Vector Machine Method for Quantitative Evaluation of Defects in Titanium Sheet Using Eddy Current Scan Image

Bao

Wang

et al. 2020

Front. Mater.

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Titanium (Ti) is an ideal structural material whose use is gradually emerging in civil engineering. Regular defect evaluation is indispensable during the long-term use of Ti sheets, which can be performed effectively using eddy current (EC) imaging, a method of visualizing defects that is convenient for inspectors. However, as EC scan images contain abundant information and have discrepancies in terms of their quality, it is difficult to extract effective features, thus affecting the evaluation results. In this article, we propose a method that combines the EC imaging technology with a quantitative evaluation method for Ti sheet defects based on the deep belief network (DBN) and least squares support vector machine (LSSVM). A multilayer DBN is constructed to extract the effective features from EC scan images for Ti sheet defects. Based on the extracted feature vectors, a multi-objective regression model of defect dimensions is established using the LSSVM algorithm. Then, the dimensions of Ti sheet defects such as length, diameter, and depth are quantitatively evaluated by the effective features and the efficient regression model. The experimental results show that the evaluation errors for the defect lengths and depths tested are less than 3 and 5%, respectively, confirming the validity of the proposed method.

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Section: Experimental Setup and Materialsmentioning

confidence: 93%

A Deep Belief network and Least Squares Support Vector Machine Method for Quantitative Evaluation of Defects in Titanium Sheet Using Eddy Current Scan Image

Bao

Wang

et al. 2020

Front. Mater.

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show abstract

“…Besides, a novel algorithm to compensate for the zero-crossing frequency point caused by the lift-off effect was proposed by Lu et al and the error caused by the lift-off can be reduced to 7.5% [24]- [25]. Moreover, for the thick coating, the lift-off effect in PEC can be reduced by using the reference signals and normalization process [26] and it is found that the sensitivity of the sensor coil would be boosted with higher lift-off under a certain range of the coil gap [27]. In our previous work, measurement of permeability for ferrite metallic plates based on CIP was introduced and proved to work well [28].…”

Section: Introductionmentioning

confidence: 96%

Methods of Controlling Lift-Off in Conductivity Invariance Phenomenon for Eddy Current Testing

Jin

Meng

et al. 2020

IEEE Access

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Prev iously, a conductivity invariance phenomena (CIP) has been discovered-at a certa in lift-off, the inductance change of the sensor due to a test sample is immune to conductivity variations, i.e. the inductance-lift-off curve passes through a common point at a certain lift-off, termed as conductivity invariance lift-off. However, this conductivity invariance lift-off is fixed for a particular sensor setup, which is not convenient for various sample conditions. In this paper, we propose using two parameters in the coil design-the horizontal and vertical distances between the transmitter and the receiver to control the conductivity invariance lift-off. The relationship between these two parameters and the conductivity invariance lift-off is investigated by simulation and experiments and it has been found that there is an approximate linear relationship between these two parameters and the conductivity invariance lift-off. This is useful for applications where the measurements have restrictions on lift-off, e.g. uneven coating thickness which limits the range of the lift-off of probe during the measurements. Therefore, based on this relationship, it can be easier to adjust the configuration of the probe for a better inspection of the test samples.

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“…In addition, a novel algorithm to compensate the zero-crossing frequency point caused by the lift-off effect was proposed by Lu et al and the error caused by the lift-off can be reduced to 7.5% [24]- [25]. Moreover, for the thick coating, the liftoff effect in PEC can be reduced by using the reference signals and normalization process [26] and it is found that the sensitivity of the sensor coil would be boosted with higher lift-off under a certain range of the coil gap [27]. In our previous work, measurement of permeability for ferrite metallic plates based on CIP was introduced and proved to work well [28].…”

Section: Introductionmentioning

confidence: 96%

Methods of Controlling Lift - off in Conductivity Invariance Phenomenon for Eddy Current Testing

Jin¹,

Meng²,

Yu³

et al. 2020

Preprint

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<p>Previously, a conductivity invariance phenomena (CIP) has been discovered – at a certain lift-off, the inductance change of the sensor due to a test sample is immune to conductivity variations, i.e. the inductance – lift-off curve passes through a common point at a certain lift-off, termed as conductivity invariance lift-off. However, this conductivity invariance lift-off is fixed for a particular sensor setup, which is not convenient for various sample conditions. In this paper, we propose using two parameters in the coil design – the horizontal and vertical distances between the transmitter and the receiver to control the conductivity invariance lift-off. The relationship between these two parameters and the conductivity invariance lift-off is investigated by simulation and experiments and it has been found that there is an approximate linear relationship between these two parameters and the conductivity invariance lift-off. This is useful for applications where the measurements have restrictions on lift-off, e.g. uneven coating thickness which limits the range of the lift-off of probe during the measurements. Therefore, based on this relationship, it can be easier to adjust the configuration of the probe for a better inspection of the test samples.</p>

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Design and optimisation of mutual inductance based pulsed eddy current probe

Cited by 57 publications

References 24 publications

A Deep Belief network and Least Squares Support Vector Machine Method for Quantitative Evaluation of Defects in Titanium Sheet Using Eddy Current Scan Image

A Deep Belief network and Least Squares Support Vector Machine Method for Quantitative Evaluation of Defects in Titanium Sheet Using Eddy Current Scan Image

Methods of Controlling Lift-Off in Conductivity Invariance Phenomenon for Eddy Current Testing

Methods of Controlling Lift - off in Conductivity Invariance Phenomenon for Eddy Current Testing

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