Application of Recurrent Neural Network in the Defectoscopy by Eddy- Currents
نویسنده
چکیده
Paper presents algorithm for localization and classification of indications in the field of nondestructive defectoscopy of steam generator tubes of nuclear power plants by multifrequency eddy current method. One of the solutions how to solve this task seems to be using of recurrent neural network (RNN). Pure non-filtered signal from measurement probe was used as an input of RNN. Combination of results obtained from the measurement at four various frequencies can increase reliability of classification.
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