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公开(公告)号：US11971329B2
公开(公告)日：2024-04-30
申请号：US17538717
申请日：2021-11-30
Applicant: General Electric Company
Inventor： Brandon S. Good , Bijan Chitsaz , Guanghua Wang , Bernard P. Bewlay , Gyeong Woo Cheon , Alberto Santamaria-Pang
CPC classification number: G01M3/38 , F02C7/00 , G01J5/0003 , G06T7/0002 , G06T7/90 , G08B21/182 , H04N23/90 , F05D2260/80 , G01J2005/0077 , G06T2207/10048 , G06T2207/20084
Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed to autonomously detect thermal anomalies. Disclosed examples include an example apparatus to detect engine anomalies comprising: at least one memory; instructions in the apparatus; and processor circuitry to execute the instructions to: control a plurality of infrared cameras to capture a baseline image set, the baseline image set including at least two thermal images; generate emissivity data based on the baseline image set; provide the baseline image set and the emissivity data to an artificial intelligence model, the artificial intelligence model to generate a reconstructed image set; determine a difference between the baseline image set and the reconstructed image set; and in response to the difference exceeding a threshold, generate an alert indicating detection of an engine anomaly.
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公开(公告)号：US20240369441A1
公开(公告)日：2024-11-07
申请号：US18646462
申请日：2024-04-25
Applicant: General Electric Company
Inventor： Brandon S. Good , Bijan Chitsaz , Guanghua Wang , Bernard P. Bewlay , Gyeong Woo Cheon , Alberto Santamaria-Pang
Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed to autonomously detect thermal anomalies. Disclosed examples include an example apparatus to detect engine anomalies comprising: at least one memory; instructions in the apparatus; and processor circuitry to execute the instructions to: control a plurality of infrared cameras to capture a baseline image set, the baseline image set including at least two thermal images; generate emissivity data based on the baseline image set; provide the baseline image set and the emissivity data to an artificial intelligence model, the artificial intelligence model to generate a reconstructed image set; determine a difference between the baseline image set and the reconstructed image set; and in response to the difference exceeding a threshold, generate an alert indicating detection of an engine anomaly.
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公开(公告)号：US10970586B2
公开(公告)日：2021-04-06
申请号：US16022160
申请日：2018-06-28
Applicant: General Electric Company
Inventor： Huan Tan , Gyeong Woo Cheon , Jilin Tu , Li Zhang
IPC: G06K9/46 , B25J9/16 , G06K9/00 , G06F16/583 , G06T7/00
Abstract: A method and system, the method including receive image data representations of a set of images of a physical asset; receive a data model of at least one asset, the data model of each of the at least one assets including a semantic description of the respective modeled asset and at least one operation associated with the respective modeled asset; determine a match between the received image data and the data model of one of the at least one assets based on a correspondence therebetween; generate, for the data model determined to be a match with the received image data, an operation plan based on the at least one operation included in matched data model; execute, in response to the generation of the operation plan, the generated operation plan by the physical asset.
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Patent Agency Ranking
公开(公告)号：US20230168146A1
公开(公告)日：2023-06-01
申请号：US17538717
申请日：2021-11-30
Applicant: General Electric Company
Inventor： Brandon S. Good , Bijan Chitsaz , Guanghua Wang , Bernard P. Bewlay , Gyeong Woo Cheon , Alberto Santamaria-Pang
CPC classification number: G01M3/38 , F02C7/00 , G01J5/0003 , G06T7/0002 , G06T7/90 , G08B21/182 , H04N5/247 , F05D2260/80 , G01J2005/0077 , G06T2207/10048 , G06T2207/20084
Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed to autonomously detect thermal anomalies. Disclosed examples include an example apparatus to detect engine anomalies comprising: at least one memory; instructions in the apparatus; and processor circuitry to execute the instructions to: control a plurality of infrared cameras to capture a baseline image set, the baseline image set including at least two thermal images; generate emissivity data based on the baseline image set; provide the baseline image set and the emissivity data to an artificial intelligence model, the artificial intelligence model to generate a reconstructed image set; determine a difference between the baseline image set and the reconstructed image set; and in response to the difference exceeding a threshold, generate an alert indicating detection of an engine anomaly.
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公开(公告)号：US11643943B1
公开(公告)日：2023-05-09
申请号：US17538697
申请日：2021-11-30
Applicant: General Electric Company
Inventor： Brandon S. Good , Younkoo Jeong , Guanghua Wang , Bijan Chitsaz , Gyeong Woo Cheon , Bernard P. Bewlay , Alberto Santamaria-Pang
CPC classification number: F01D21/003 , F01D25/24 , F01D25/28 , F05D2260/4031 , F05D2260/80 , F05D2270/62 , F05D2270/8041
Abstract: Improved gimbal systems, apparatus, articles of manufacture and associated methods are disclosed. Examples include a panel including a window, the window to define an aperture for a sensor; a platform to mount the sensor, the platform including a first pinion; a first stepper motor to move the first pinion about a first arched rack; a gimbal body including the first arched rack and a second pinion; and a second stepper motor to move the second pinion about a second arched rack, the second arched rack positioned orthogonally to the first arched rack.
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公开(公告)号：US20230167750A1
公开(公告)日：2023-06-01
申请号：US17538697
申请日：2021-11-30
Applicant: General Electric Company
Inventor： Brandon S. Good , Younkoo Jeong , Guanghua Wang , Bijan Chitsaz , Gyeong Woo Cheon , Bernard P. Bewlay , Alberto Santamaria-Pang
CPC classification number: F01D21/003 , F01D25/24 , F01D25/28 , F05D2260/4031 , F05D2260/80 , F05D2270/8041 , F05D2270/62
Abstract: Improved gimbal systems, apparatus, articles of manufacture and associated methods are disclosed. Examples include a panel including a window, the window to define an aperture for a sensor; a platform to mount the sensor, the platform including a first pinion; a first stepper motor to move the first pinion about a first arched rack; a gimbal body including the first arched rack and a second pinion; and a second stepper motor to move the second pinion about a second arched rack, the second arched rack positioned orthogonally to the first arched rack.
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公开(公告)号：US11657506B2
公开(公告)日：2023-05-23
申请号：US16293972
申请日：2019-03-06
Applicant: General Electric Company
Inventor： Huan Tan , Isabella Heukensfeldt Jansen , Gyeong Woo Cheon , Li Zhang
IPC: G06F19/00 , G06T7/11 , G05D1/02 , G06T7/73 , G05D1/00 , G06N3/08 , G06T7/194 , G06F18/2413 , G06N3/045 , G06V10/764 , G06V10/82 , G06V10/44 , G06V20/10
CPC classification number: G06T7/11 , G05D1/0088 , G05D1/0246 , G06F18/24133 , G06N3/045 , G06N3/08 , G06T7/194 , G06T7/74 , G06T7/75 , G06V10/454 , G06V10/764 , G06V10/82 , G06V20/10 , G06T2207/20081 , G06T2207/20084 , G06T2207/30244
Abstract: A method of robot autonomous navigation includes capturing an image of the environment, segmenting the captured image to identify one or more foreground objects and one or more background objects, determining a match between one or more of the foreground objects to one or more predefined image files, estimating an object pose for the one or more foreground objects by implementing an iterative estimation loop, determining a robot pose estimate by applying a robot-centric environmental model to the object pose estimate by implementing an iterative refinement loop, associating semantic labels to the matched foreground object, compiling a semantic map containing the semantic labels and segmented object image pose, and providing localization information to the robot based on the semantic map and the robot pose estimate. A system and a non-transitory computer-readable medium are also disclosed.
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公开(公告)号：US10937150B2
公开(公告)日：2021-03-02
申请号：US16022074
申请日：2018-06-28
Applicant: General Electric Company
Inventor： Huan Tan , Arpit Jain , Gyeong Woo Cheon , Ghulam Ali Baloch , Jilin Tu , Weina Ge , Li Zhang
Abstract: A method and system, the method including receiving semantic descriptions of features of an asset extracted from a first set of images; receiving a model of the asset, the model constructed based on a second set of a plurality images of the asset; receiving, based on an optical flow-based motion estimation, an indication of a motion for the features in the first set of images; determining a set of candidate regions of interest for the asset; determining a region of interest in the first set of images; iteratively determining a matching of features in the set of candidate regions of interest and the determined region of interest in the first set of images to generate a record of matches in features between two images in the first set of images; and displaying a visualization of the matches in features between two images in the first set of images.
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