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公开(公告)号:US09747683B2
公开(公告)日:2017-08-29
申请号:US14977253
申请日:2015-12-21
Applicant: General Electric Company
Inventor: Arun Karthi Subramaniyan , Khan Mohamed Khirullah Genghis Khan , Clifford Bueno , Ali Can , Adrian Gabriel Loghin , Jie Yu
CPC classification number: G06T7/001 , G06K9/00208 , G06K9/6212 , G06K9/6214 , G06K2209/19 , G06T7/11 , G06T2207/10081 , G06T2207/30164
Abstract: A monitoring system for determining component wear is provided. The monitoring system includes a memory device configured to store a reference model of a component and a component wear monitoring (CWM) device configured to receive a component image of a first component being inspected, detect a plurality of manmade structural features in the received component image, adjust the component image to mask out at least some of the plurality of manmade structural features from the received component image, compare the adjusted component image with the reference model to determine one or more potential defect areas in the first component, analyze each of the one or more defect areas to determine a state of the potential defect areas, and output the state of the one or more potential defect areas to a user.
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公开(公告)号:US20170178308A1
公开(公告)日:2017-06-22
申请号:US14977253
申请日:2015-12-21
Applicant: General Electric Company
Inventor: Arun Karthi Subramaniyan , Khan Mohamed Khirullah Genghis Khan , Clifford Bueno , Ali Can , Adrian Gabriel Loghin , Jie Yu
CPC classification number: G06T7/001 , G06K9/00208 , G06K9/6212 , G06K9/6214 , G06K2209/19 , G06T7/11 , G06T2207/10081 , G06T2207/30164
Abstract: A monitoring system for determining component wear is provided. The monitoring system includes a memory device configured to store a reference model of a component and a component wear monitoring (CWM) device configured to receive a component image of a first component being inspected, detect a plurality of manmade structural features in the received component image, adjust the component image to mask out at least some of the plurality of manmade structural features from the received component image, compare the adjusted component image with the reference model to determine one or more potential defect areas in the first component, analyze each of the one or more defect areas to determine a state of the potential defect areas, and output the state of the one or more potential defect areas to a user.
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