交流电磁场检测(alternating current field measurement, ACFM)技术广泛应用于制造业等工业领域中金属结构物的缺陷检测。针对单传感器在非预知缺陷检测过程中存在的角度偏转及裂纹定位等问题展开了研究,首先通过COMSOL Multiphysics...交流电磁场检测(alternating current field measurement, ACFM)技术广泛应用于制造业等工业领域中金属结构物的缺陷检测。针对单传感器在非预知缺陷检测过程中存在的角度偏转及裂纹定位等问题展开了研究,首先通过COMSOL Multiphysics仿真结果可知:场强的X和Y方向分量在角度偏转的过程中存在信号互补的规律,然后通过建立比例因子进而实现了数据增广型灰色神经网络模型(data augmented grey neural network model, DA-GNNM)的预测,同时模拟预测对比回归预测可知DA-GNNM模型的预测效果较优。此外通过多梯度偏转仿真实现了偏转裂纹的重构,其次通过搭建实验平台以及信号特征提取等工作验证了DA-GNNM预测模型的合理性,平均预测误差2.56%;最后通过预测角度进一步改善了非平行检测过程中裂纹重构图像的偏转问题。展开更多
The effect of oxidizing-heat-treatment conditions on the electricity performance of doped SrTiO3 ceramic is analyzed by using the theory of grey neural network. Based on the number of main parameters, the model of GN...The effect of oxidizing-heat-treatment conditions on the electricity performance of doped SrTiO3 ceramic is analyzed by using the theory of grey neural network. Based on the number of main parameters, the model of GNNM (1,1), GNNM (1,2), GNNM (1,3) is used to analyze and construct the corresponding model of GNNM (2,1) gray neural network. It can reach the required precision by calculating.展开更多
文摘The effect of oxidizing-heat-treatment conditions on the electricity performance of doped SrTiO3 ceramic is analyzed by using the theory of grey neural network. Based on the number of main parameters, the model of GNNM (1,1), GNNM (1,2), GNNM (1,3) is used to analyze and construct the corresponding model of GNNM (2,1) gray neural network. It can reach the required precision by calculating.