Multilayer perceptron neural network and eddy current technique for estimation of the crack depth on massive metal structures
Multilayer perceptron neural network and eddy current technique for estimation of the crack depth on massive metal structures
This paper introduces a method for estimating the maximum depth (sub-millimeter) of minor cracks on the surface of aluminum plates used in the aeronautical industry. A set of C-scan eddy current (EC) images, including real and imaginary parts of the impedance, is analyzed to extract suitable features after reducing noise effects, such as background noises and edge noises.