Metal Plate Thickness Classification In Eddy Current Testing Using Support Vector Machine |
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| Tiago Rocha, Dário Pasadas, Helena G. Ramos, Artur L. Ribeiro |
- Abstract:
- Eddy current testing (ECT) is a non destructive technique that can be used in the measurement of conductive material thickness. In this work a machine learning algorithm (support vector machine - SVM) is applied to ECT data, obtained for three different types of conductive plates, and classifies their thicknesses. Eddy currents are induced by imposing a voltage step in an excitation coil, while a giant magnetoresistor (GMR) magnetic sensor measures the transitory magnetic field intensity in the sample vicinity. An experimental validation procedure, including machine training with linear and exponential kernels and classification errors, was made for each metal type with sets of sample thicknesses up to 7.5 mm.
- Keywords:
- eddy current testing, support vector machine, GMR, thickness
- Download:
- IMEKO-TC4-2013-055.pdf
- DOI:
- -
- Event details
- IMEKO TC:
- TC4
- Event name:
- TC4 Symposium 2013
- Title:
- 19th IMEKO TC4 Symposium Measurements of Electrical Quantities (together with 17th TC4 IWADC Workshop on ADC and DAC Modelling and Testing)
- Place:
- Barcelona, SPAIN
- Time:
- 18 July 2013 - 19 July 2013