Results 271 to 280 of about 643,568 (346)
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Evaluation of ultrasonic C-scan attenuation image
IEEE 1991 Ultrasonics Symposium, 2002Temporal averaging and homomorphic processing, which extract the local ultrasonic wavelet and estimate the attenuation coefficient, have been incorporated into C-scan imaging to generate and attenuation map. The variation of this map displays changes in the scattering cross section and in the absorption of materials.
T. Wang, J. Saniie
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Research of Ultrasonic C-scan Imaging Lateral Resolution
2019 IEEE International Conference on Mechatronics and Automation (ICMA), 2019Aiming at the problem of reflective C-scan imaging lateral resolution, this paper proposes to use the right-angle crack reflection method to measure the lateral resolution of ultrasonic transducers. According to the theoretical sound field distribution at the focal plane of the ultrasonic transducer, the corresponding line response function and the ...
Ran Liu +4 more
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"Synthetic axial acquisition" full resolution C-Scan ultrasonic imaging
IEEE Ultrasonics Symposium, 2005., 2006This work relates to efficient and low cost acquisition of beamformer data for C-Scan imaging. In our previously described Directly Sampled In-phase and Quadrature (DSIQ) approach (1), as few as one complex sample per array element is used. In the 'Synthetic Axial Acquisition' (SAA) approach presented here, we take advantage of the fact that we use an ...
Y. Li +3 more
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IEEE Transactions on Instrumentation and Measurement
This article compares low-frequency (LF) Lamb waves in a pitch-catch configuration and high-frequency (HF) bulk waves in a pulse-echo mode for ultrasonic C-scan imaging of composite lap joints.
M. Barzegar +3 more
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This article compares low-frequency (LF) Lamb waves in a pitch-catch configuration and high-frequency (HF) bulk waves in a pulse-echo mode for ultrasonic C-scan imaging of composite lap joints.
M. Barzegar +3 more
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Screening of Metal Matrix Composites Using Ultrasonic C-Scans
Journal of Composites Technology and Research, 1989Ultrasonic C-scans can be used to find some types of defects in continuous fiber-reinforced metal matrix composites such as boron/aluminum composites. These defects are related to the fatigue behavior and fracture location of each inspected specimen. The C-scan technique determined the relative amount of defects in boron/aluminum composites.
GP Sendeckyj +4 more
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Automated Ultrasonic Testing of Materials based on C-scan Flaw Classification
2021 12th International Symposium on Image and Signal Processing and Analysis (ISPA), 2021The analysis of the data in non-destructive ultrasonic testing of materials is a very time- intensive task. To alleviate the aforementioned strain on the human expert inspectors, a plethora of assisted analysis methods based on deep learning have been developed recently.
Petković, Tomislav +5 more
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Blind image-deconvolution for ultrasonic C-scans
AIP Conference Proceedings, 2001Ultrasonic C-scan images suffer from the problem of gating truncations, blurring due to quantization and squaring distortion, and noise. In this work the H∞ identification strategy is presented to restore the image without any prior information about the distortion and noise, hence the scheme is called blind deconvolution.
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Development of a Manipulator Free Mobile Ultrasonic C-Scan System
Key Engineering Materials, 2006Ultrasonic C-scan inspections have been used in various industrial fields. Usually, conventional ultrasonic C-scan systems have several mechanical manipulating axis controlled by a computer or an electronic device. These systems are suitable for the high resolution and inspection quality.
Hyun Cho +4 more
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Encoder Positioning Manual Ultrasonic C-Scan Testing Method and Applications
2021To solve the problems that traditional manual inspection results cannot be visualized and automatic detection equipment is complex and non-maneuverable, a manual ultrasonic C-Scan testing method based on encoder positioning is proposed. By analyzing the characteristics of the ultrasonic A-Scan signal, an acquisition method for ultrasonic A-Scan signal ...
Tianhang Fu, Songping Liu
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Assisted Data Analysis for Ultrasonic C-scans through Unsupervised Anomaly Detection
ASNT Research Symposium 2023 Proceedings, 2023well as the lack of effective data for training supervised machine learning algorithms. This paper presents an unsupervised machine learning approach for calling possible flaw indications based on a combination of expert knowledge, segmentation, and anomaly detection.
Joel B. Harley +3 more
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