基于神经网络的焊接故障诊断研究

Study of Welding Defect Diagnosing base on Neural Network

针对焊接时容易产生气孔这个缺陷,引入了神经网络技术对气孔缺陷进行诊断,结果表明基于神经网络算法的焊接诊断稳定性好,诊断速度快,这说明该诊断技术具有很大的应用价值。

For the welding porosity shortcoming, this paper introduces the neural network technology to the welding porosity shortcoming diagnosis, diagnostic results show that the algorithm based on neural network have diagnostic stabihty, fast diagnostic speed, which show that the welding defects diagnostic techniques based on neural network have great apphcation value.