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Localization of defects in die-attach assembly by Continuous Wavelet Transform using Scanning Acoustic Microscopy

机译:连续小波变换使用扫描声显微镜技术对芯片连接组件中的缺陷进行定位

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The main goal of this paper is to describe a new method based on Continuous Wavelet Transform (CWT) algorithm and successfully implemented in a Scanning Acoustic Microscope, developed at IXL Laboratory, for the measurement of Time Of Flight (TOF) between ultrasonic echoes and contribute to the help of defect diagnosis and failure analysis of a die-attach assembly. The paper is divided into three main parts. After a brief description of the different methods for the TOF measurement, we give the strong interest to use Wavelet Transform due to the nature explained. The robustness of the CWT algorithm is evaluated to achieve information concerning its performances in presence of different signal parameters and SNR with a statistical treatment. In final, we propose an application of this algorithm to the help of acoustic images interpretation. This application concerns the detection and localization of defects into a die-attach assembly, specially the detection of the fine crack.
机译:本文的主要目的是描述一种基于连续小波变换(CWT)算法的新方法,该方法已在IXL实验室开发的扫描声学显微镜中成功实施,用于测量超声回波和声波之间的飞行时间(TOF)。有助于模具连接组件的缺陷诊断和故障分析。本文分为三个主要部分。在简要介绍了TOF测量的不同方法之后,由于解释的性质,我们强烈希望使用小波变换。对CWT算法的鲁棒性进行评估,以获取有关其在存在不同信号参数和SNR的情况下的性能的信息,并进行统计处理。最后,我们提出了该算法在声学图像解释中的应用。该申请涉及将缺陷检测和定位到管芯附接组件中,特别是检测细裂纹。

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