Performance Comparison of Welding Flaws Classification using Ultrasonic Nondestructive Inspection Technique

초음파 비파괴 검사기법에 의한 용접결함 분류성능 비교

In this study, we made a comparative study of backpropagation neural network and probabilistic neural network and bayesian classifier and perceptron as shape recognition algorithm of welding flaws. For this purpose, variables are applied the same to four algorithms. Here, feature variable is composed of time domain signal itself and frequency domain signal itself. Through this process, we comfirmed advantages/disadvantages of four algorithms and identified application methods of four algorithms.