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shows a parametric image of the thicknesses of the sinter layers between the die metallization and the Cu bond buffer [5]. The values displayed in the parametric image were obtained by analyzing the differences in phase of the die echoes. Due to the relatively long ultrasonic pulses a strong overlap between the entrance-and exiting echo of the sinter layer occurs resulting in a low accuracy of the estimates. An alternative approach is the analysis of the shift of the power spectral maxima of the acoustic signals. Spectral analysis is particular sensitive to temporal separation and thus the physical distance that correspond to time shifts in the echo signals. Further work will be required to increase the accuracy and robustness of this approach to be applicable with sufficient reliability. The results presented in fig 5 and 6 are preliminary to illustrate the potential of the acoustic signal analysis for the derivation of additional 2 nd order quality parameters of power electronic devices.

shows a parametric image of the thicknesses of the sinter layers between the die metallization and the Cu bond buffer [5]. The values displayed in the parametric image were obtained by analyzing the differences in phase of the die echoes. Due to the relatively long ultrasonic pulses a strong overlap between the entrance-and exiting echo of the sinter layer occurs resulting in a low accuracy of the estimates. An alternative approach is the analysis of the shift of the power spectral maxima of the acoustic signals. Spectral analysis is particular sensitive to temporal separation and thus the physical distance that correspond to time shifts in the echo signals. Further work will be required to increase the accuracy and robustness of this approach to be applicable with sufficient reliability. The results presented in fig 5 and 6 are preliminary to illustrate the potential of the acoustic signal analysis for the derivation of additional 2 nd order quality parameters of power electronic devices.

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Conference Paper
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The generation and conversion of high power based on electricity has been a highly pursued field of research and engi-neering for many years. The availability of new materials and technologies for generation, handling and conversion of high-power electricity has led to a broadening range of applications. As a consequence the demand on the achievabl...

Citations

... Conventional SAMs are working with strong focusing single element probes with center frequencies from 30 up to 230 MHz whereby resolution increases for higher frequencies [1,2]. A number of applications in NDT prove the performance of ultrasound microscopy, when the transducer is adjusted so that the focus is placed on the desired inspection plane [3]. By using a probe with a long focal zone extending over the whole thickness of the test object, it can be inspected with one single scan [4]. ...
Article
Scanning acoustic microscopy (SAM) provides high-resolution images of biological tissues. Since higher transducer frequencies limit penetration depth, image resolution enhancement techniques could help in maintaining sufficient lateral resolution without sacrificing penetration depth. Compared with existing SAM research, this work introduces two novelties. First, deep learning (DL) is used to improve lateral resolution of 180-MHz SAM images, comparing it with two deconvolution-based approaches. Second, 316-MHz images are used as ground truth in order to quantitatively evaluate image resolution enhancement. The samples used were mouse and rat brain sections. The results demonstrate that DL can closely approximate ground truth (NRMSE = 0.056 and PSNR = 28.4 dB) even with a relatively limited training set (four images, each smaller than 1 mm $\times 1$ mm). This study suggests the high potential of using DL as a single image superresolution method in SAM.