Ultrasonic testing of spot weld based on spectrum analysis and artificial neural network

The spectrum of testing signal for the spot weld test is analyzed and the characteristic vector which can indicate the characteristics of the signal spectrum of ultrasonic signals for spot weld is obtained.Through using the vector as input data, an artificial neural network is proposed to classify the resistance spot welds in the different diameter level.The testing method proposed in the paper has the advantages of higher recognition ability, higher efficiency and smaller interference factors compared to the traditional methods.