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MACHINE LEARNING-BASED METHODS AND SYSTEMS FOR DEFFECT DETECTION AND ANALYSIS USING ULTRASOUND SCANS
MACHINE LEARNING-BASED METHODS AND SYSTEMS FOR DEFFECT DETECTION AND ANALYSIS USING ULTRASOUND SCANS
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机译:基于机器学习的方法和系统,用于使用超声扫描进行脱近检测和分析
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摘要
A technological solution for analyzing a sequence of ultrasound scan images of an asset and diagnosing a health condition of a section of the asset. The solution includes receiving, by a machine learning platform, an ultrasound scan image of the section of the asset; analyzing, by the machine learning platform, the ultrasound scan image to detect any aberrations in the section; generating, by the machine learning platform, an aberration label for each detected aberration in the section; labeling, by the machine learning platform, the section of the asset with a section condition label; and, rendering, by a display device, the section conditional label. The section condition label can be based on each detected aberration in the section. The section condition label can include at least one of an aberration area ratio, a total number of aberrations, and the aberration label for each detected aberration in the section of the asset.
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