欢迎您！东篱公司
退出
-
申报数据库
-
立项数据库
-
成果数据库
-
项目获奖数据库
中文摘要：
合适的频率试验性地被选择是电磁的声学的变换器的操作频率。从钢和橡胶材料的一件多层的粘合剂样品的检测超声的回响的即时振幅，阶段和频率被计算并且创作了形成成功把严峻的信号与不同粘合剂状态品质上区分开来的三维的即时光谱。然后，在敏感时间窗户中的平均即时参数被拣起并且为 BP 人工的神经网络用作输入特徵向量。在训练并且测试体积的识别结果证明检测了电磁的超声的界面的回响能与比 95% 大的正确性比率自动地被识别并且分类。
英文摘要：
The proper frequency is experimentally chosen to be the operation frequency of the electromagnetic acoustic transducer. The instantaneous amplitude, phase and frequency of the detected ultrasonic echoes from a multilayer adhesive sample of steel and rubber materials are calculated and composed to form three-dimensional instantaneous spectrum which is successful to distinguish the testing signals from different adhesive states qualitatively. Then, average instantaneous parameters in sensitive time window are picked up and used as the input eigenvectors for the BP artificial neural network. Identified results in both training and testing volumes demonstrate that the detected electromagnetic ultrasonic interracial echoes can be identified and classified automatically with the correctness ratio larger than 95%.
同期刊论文项目
同项目期刊论文
期刊信息
位置：