- 专利标题: PROBABILITY OF DETECTION OF LIFECYCLE PHASES OF CORROSION UNDER INSULATION USING ARTIFICIAL INTELLIGENCE AND TEMPORAL THERMOGRAPHY
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申请号: US18365612申请日: 2023-08-04
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公开(公告)号: US20240053287A1公开(公告)日: 2024-02-15
- 发明人: Ahmed ALJARRO , Ali AL SHEHRI , Ayman AMER , Abdulrahman ALTHOBAITI , Hamad SAIARI , Fadhel ASFOOR , Yasser ALSUBHI , Rick HUNTER , Arjun ROY , Vladimir SHAPIRO , Weiwei QIAN , Bilal SAAD , Matthias ODISIO , Godine Kok Yan CHAN , Edvardas KAIRIUKSTIS , Anthony KAKPOVBIA , Muntathir ALBAQSHI , Fatima ALSALMAN
- 申请人: Saudi Arabian Oil Company , Baker Hughes Holdings LLC
- 申请人地址: SA TX Dhahran
- 专利权人: Saudi Arabian Oil Company,Baker Hughes Holdings LLC
- 当前专利权人: Saudi Arabian Oil Company,Baker Hughes Holdings LLC
- 当前专利权人地址: SA Dhahran; US TX Houston
- 主分类号: G01N25/72
- IPC分类号: G01N25/72 ; G06T5/50 ; G06V10/25 ; G06V10/762 ; G06V20/70 ; G01J5/48
摘要:
A system for determining corrosion under insulation of an industrial asset is provided. The system includes an infrared camera configured to acquire one or more time-series infrared images of an industrial asset. The system further includes a computing device configured to receive data characterizing the one or more time-series infrared images, and to identify an area of interest of the industrial asset within the one or more time-series infrared images. The computing device further configured to identify, by a machine learning algorithm, a plurality of defects within the area of interest based on pixel-wise assignment of at least one defect category selected from a plurality of defect categories associated with corrosion under insulation of the industrial asset, and to provide the plurality of defects within the area of interest of the industrial asset. Related methods, apparatuses, and computer-readable mediums are also provided.
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