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公开(公告)号:US20190172191A1
公开(公告)日:2019-06-06
申请号:US16210800
申请日:2018-12-05
Applicant: United Technologies Corporation
Inventor: Alan Matthew Finn , Jose Miguel Pasini , Edgar A. Bernal , Ozgur Erdinc , Ziyou Xiong , Gene B. Donskoy , Sergio S. Frutuoso , Joseph A. Sylvestro , Richard W. Osborne, III , Olusegun T. Oshin , William L. Rall
Abstract: A process for automated component inspection includes the steps of calibrating an imaging device mounted on a table; calibrating a coordinate measuring machine mounted on the table, the coordinate measuring machine comprising a fixture coupled to an arm of the coordinate measuring machine; coupling a component to the fixture; acquiring an image of said component with said imaging device; registering a baseline dimensioned image to the component image; applying the baseline dimensioned image to a damage detection algorithm; and determining component damage by the damage detection algorithm.
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公开(公告)号:US20190340721A1
公开(公告)日:2019-11-07
申请号:US15970944
申请日:2018-05-04
Applicant: United Technologies Corporation
Inventor: Alan Matthew Finn , Jose Miguel Pasini , Richard W. Osborne, III , Edgar A. Bernal , Ozgur Erdinc , Olusegun Oshin , Ziyou Xiong , Catalin G. Fotache , Gene B. Donskoy , Sergio S. Frutuoso , Joseph A. Sylvestro
Abstract: A method for robotic inspection of a part, includes the steps of: supporting the part with a robot mechanism; obtaining part-related sensor input with a sensor positioned to inspect the part supported by the robot mechanism; and controlling movement of the robot mechanism relative to the sensor, wherein the controlling is done by a feedback control unit which receives the sensor input, and the feedback control unit is configured to control the robot mechanism based upon the sensor input.
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公开(公告)号:US11410298B2
公开(公告)日:2022-08-09
申请号:US16210800
申请日:2018-12-05
Applicant: United Technologies Corporation
Inventor: Alan Matthew Finn , Jose Miguel Pasini , Edgar A. Bernal , Ozgur Erdinc , Ziyou Xiong , Gene B. Donskoy , Sergio S. Frutuoso , Joseph A. Sylvestro , Richard W. Osborne, III , Olusegun T. Oshin , William L. Rall
Abstract: A process for automated component inspection includes the steps of calibrating an imaging device mounted on a table; calibrating a coordinate measuring machine mounted on the table, the coordinate measuring machine comprising a fixture coupled to an arm of the coordinate measuring machine; coupling a component to the fixture; acquiring an image of said component with said imaging device; registering a baseline dimensioned image to the component image; applying the baseline dimensioned image to a damage detection algorithm; and determining component damage by the damage detection algorithm.
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公开(公告)号:US10943320B2
公开(公告)日:2021-03-09
申请号:US15970944
申请日:2018-05-04
Applicant: United Technologies Corporation
Inventor: Alan Matthew Finn , Jose Miguel Pasini , Richard W. Osborne, III , Edgar A. Bernal , Ozgur Erdinc , Olusegun Oshin , Ziyou Xiong , Catalin G. Fotache , Gene B. Donskoy , Sergio S. Frutuoso , Joseph A. Sylvestro
Abstract: A method for robotic inspection of a part, includes the steps of: supporting the part with a robot mechanism; obtaining part-related sensor input with a sensor positioned to inspect the part supported by the robot mechanism; and controlling movement of the robot mechanism relative to the sensor, wherein the controlling is done by a feedback control unit which receives the sensor input, and the feedback control unit is configured to control the robot mechanism based upon the sensor input.
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公开(公告)号:US10054552B1
公开(公告)日:2018-08-21
申请号:US15716911
申请日:2017-09-27
Applicant: United Technologies Corporation
Inventor: Sergio S. Frutuoso , Alan Matthew Finn , Gene B. Donskoy
CPC classification number: G01N21/91 , G01M15/00 , G01N21/8806 , G01N21/8851 , G01N35/00584 , G01N2021/8887
Abstract: An example method of inspecting a part includes applying a penetrant dye to the part, the penetrant dye exhibiting a fluorescent color when subjected to light from a lighting device. A portion of the part is illuminated with light from the lighting device. An image of the portion of the part is automatically recorded with a camera while the portion is illuminated. An uncertainty metric for the image is automatically determined that is indicative of a likelihood that pixels in the image having the fluorescent color represent damage to the part. At least one of the part, lighting device, and camera are automatically adjusted based on the uncertainty metric being within a predefined range. The automatic recording, determining, and adjusting steps are iteratively repeated until the uncertainty metric is greater than the predefined range, or a predefined number of iterations have been performed for the portion of the part.
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