CAJ | 학술논문

将换能器耦合电信号作为识别键合质量的信息载体，研究了耦合信号的特征提取、模式识别方法及实际应用。提出了一种换能器耦合信号细化特征提取方法，该方法以三个关键键合过程即去除氧化膜、键合点塑性变形、应力扩散为依据，将瞬态耦合信号分段进行特征提取。采用主分量分析技术对提取的特征进行选择，通过BP神经网络对键合缺陷特征进行分析，有效地识别了无引线键合缺陷，预测了键合点剪切力。
장환능기우합전신호작위식별건합질량적신식재체，연구료우합신호적특정제취、모식식별방법급실제응용。제출료일충환능기우합신호세화특정제취방법，해방법이삼개관건건합과정즉거제양화막、건합점소성변형、응력확산위의거，장순태우합신호분단진행특정제취。채용주분량분석기술대제취적특정진행선택，통과BP신경망락대건합결함특정진행분석，유효지식별료무인선건합결함，예측료건합점전절력。
Using the coupling signals of PZT as the information carrier for monitoring the bonding process,the feature extraction, pattern recognition, and practical application of the coupling signals were investigated. According to the three key bonding processes of remove the oxide film, the bonding point plastic deformation,stress diffusion,a new feature extraction method based on the sub band en- velope segmentation was proposed to characterizing the transient ultrasonic coupling signals. To elimi- nate the irrelevant information of original feature variables, the principal component analysis (PCA) method was used for the feature selection. With the proposed method, the data acquired from fault bonding states were analyzed. The results demonstrate that the proposed method can identify the wire break bonding conditions effectively and predict the bond shear test strength.