contributor author | Zhang, Wei | |
contributor author | Wang, Xinyan | |
contributor author | Guan, Xuefei | |
date accessioned | 2022-02-04T14:34:05Z | |
date available | 2022-02-04T14:34:05Z | |
date copyright | 2020/04/08/ | |
date issued | 2020 | |
identifier issn | 2572-3901 | |
identifier other | nde_3_3_031105.pdf | |
identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4273927 | |
description abstract | This study presents a method of ultrasonic flaw identification using phased array ultrasonic inspection data. Raw data from each individual channel of the phased array ultrasonic inspection are obtained. The data trimming and de-noising are employed to retain the data within the boundary of the inspected object and remove the speckle noise components from the raw data, respectively. The resulting data are passed into a sequence of signal processing operations to identify embedded flaws. A shape-based filtering method is proposed to reduce the intensity of geometric noise components due to the non-uniform microstructures introduced in the manufacturing process. The resulting data matrices are integrated to obtain the intensity matrix of the possible flaw regions. Thresholding is applied to the intensity matrix to obtain the potential flaw regions, followed by a connected component analysis to identify the flaws. The overall method is demonstrated and validated using realistic phased array experimental data. | |
publisher | The American Society of Mechanical Engineers (ASME) | |
title | Ultrasonic Flaw Recognition by Multi-Angle Phased Array Data Integration | |
type | Journal Paper | |
journal volume | 3 | |
journal issue | 3 | |
journal title | Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems | |
identifier doi | 10.1115/1.4046722 | |
page | 31105 | |
tree | Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems:;2020:;volume( 003 ):;issue: 003 | |
contenttype | Fulltext | |