弱磁场激励下基于阵列磁传感器的缺陷检测方法

研究在弱磁场激励条件下，铁磁性材料试件16MnR在动载荷拉伸实验中的损伤检测问题。 基于巨磁阻芯片设计了新型阵列磁传感器，搭建了铁磁构件磁信号检测系统；对不同载荷循环阶段的试件表面磁信号进行了拾取，并利用小波变换有效地抑制了噪声干扰。 最后，对降噪后的磁信号进行C扫描成像，实现了弱磁场激励下试件损伤发展过程的磁信号成像显示。 该结果可为铁磁性试件疲劳损伤的在位检测提供一种新型检测方法。 

Defect Detection Methods Based on Array Magnetic Sensor Under Weak Magnetic Field

The dynamic tensile tests of 16MnR steel under the weak magnetic field excitation have been conducted to investigate the damage detection problem. In order to solve the problem, a new array magnetic sensor was designed based on giant magneto resistive chip, and a magnetic signal detection system was built firstly. Then, the magnetic signal of specimen surface was picked up in different stages of loading, and the noise was suppressed effectively with the wavelet transform. Finally, the magnetic signal was scanned after noise reduction was processed to achieve the magnetic signal imaging display in the development process of damage. So a new reign detection method is provided for fatigue damage of the ferromagnetic specimen.