【摘要】 利用超声波对钢板和橡胶的粘结质量进行检测.通过分析回波信号的谐波振幅、频率等信息,提取出了信号能量、奇异波的峰值和数量,并采用自组织神经网络分类算法对钢板和橡胶的粘结质量进行了定量分析.分析结果表明,自组织神经网络可以有效地对钢板和橡胶的粘结质量进行分类和识别.更多还原

【Abstract】 Bonding quality of steel plates and rubber with ultrasonic waves is expounded,the signal energy,peak value and the quantity of singular waves are extracted by analyzing the harmonics of the echo signal amplitude,frequency and so on.The self-organizing neural network classification algorithm is adopted to quantitative analysis of bonding quality of steel plates and rubber.The results show that this method is effective to classify and identify the bonding quality of steel plates and rubber.更多还原