针对钢丝绳损伤与漏磁场的非线性问题,应用小波神经网络理论,提出了一种铜丝绳损伤定量无损检测方法。对钢丝绳进行检测,消除噪声,提取特征信号,建立损伤特征信号与损伤的非线性映射,可直接输出损伤根数。实验表明,小波神经网络可以定量检测钢丝绳损伤,为铜丝绳无损检测的进一步研究提供了有效的途径。 Aiming at the nonlinear problem of wire rope damage and leakage magnetic field, a method of quantitative non-destructive testing of copper wire rope damage is proposed based on wavelet neural network theory. Detecting the wire rope, eliminating the noise, extracting the characteristic signal, establishing the non-linear mapping of the damage characteristic signal and the damage, and directly outputting the root number of the damage. Experiments show that the wavelet neural network can detect the damage of the wire rope quantitatively and provide an effective way for the further research of the nondestructive testing of the copper wire rope.