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公开(公告)号：US10775314B2
公开(公告)日：2020-09-15
申请号：US15809531
申请日：2017-11-10
Applicant: General Electric Company
Inventor： Huan Tan , Li Zhang , Romano Patrick , Arpit Jain , Guangliang Zhao , Jilin Tu
IPC: G01N21/88 , G06N20/00 , G01N21/95 , G06N3/00 , G06N3/08 , G06F3/0354 , G06F16/20 , H04L29/08 , H04W4/80 , G01S17/86
Abstract: An asset inspection system includes a robot and a server. The robot collects inspection data corresponding to an asset. The server, includes a user interface, a processor, and a memory. The memory includes instructions that, when executed by the processor, cause the processor to receive the inspection data from the robot, display the inspection data via the user-interface, receive feedback on the inspection data via the user interface, generate a human-assisted inspection based on the received feedback, analyze the inspection data via a trained model, generate an automated inspection based on the analysis by the trained model, combine the automated inspection and the human-assisted inspection to generate an inspection report, and transmit the inspection report for review.
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公开(公告)号：US20220099532A1
公开(公告)日：2022-03-31
申请号：US17032218
申请日：2020-09-25
Applicant: General Electric Company
Inventor： Zhanpan Zhang , Guangliang Zhao , Jin Xia , John Joseph Mihok , Frank William Ripple, JR. , Kyle Raymond Barden , Alvaro Enrique Gil
IPC: G01M99/00 , G06N20/00 , G05B19/042
Abstract: A system and method are provided for operating a power generating asset. Accordingly, a plurality of operational data sets are received by a controller. The operational data sets include at least one indication of a performance anomaly. A plurality of predictive models are implemented by the controller to determine a plurality of potential root causes of the performance anomaly and a plurality of corresponding probabilities for each of the potential root causes. A consolidation model is generated for classifying the plurality of potential root causes and corresponding probabilities. The consolidation model is trained via a training data set to correlate the plurality of potential root causes to an actual root cause for the performance anomaly. The consolidation model is implemented by the controller to determine the actual root cause of the performance anomaly based on the plurality of potential root causes and corresponding probabilities.
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公开(公告)号：US20210236026A1
公开(公告)日：2021-08-05
申请号：US16782960
申请日：2020-02-05
Applicant: General Electric Company
Inventor： Cynthia Elizabeth Landberg Davis , Guangliang Zhao , Tzu-Jen Kao , Aghogho Obi , Nancy Cecelia Stoffel
Abstract: A neuroactivity monitoring system includes a camera configured to acquire image data of a patient positioned on the patient support and a monitoring device in communication with the camera. The monitoring device uses the acquired image data of the camera to identify and track patient landmarks, such as facial and/or posture landmarks, and, based on the tracked movement, characterize patient neuroactivity.
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公开(公告)号：US11497418B2
公开(公告)日：2022-11-15
申请号：US16782960
申请日：2020-02-05
Applicant: General Electric Company
Inventor： Cynthia Elizabeth Landberg Davis , Guangliang Zhao , Tzu-Jen Kao , Aghogho Obi , Nancy Cecelia Stoffel
IPC: A61B6/00 , G06K9/00 , A61B5/11 , G06T7/246 , A61B5/00 , G06T7/00 , H04N5/247 , G06V40/10 , G06V40/20 , G06V40/16
Abstract: A neuroactivity monitoring system includes a camera configured to acquire image data of a patient positioned on the patient support and a monitoring device in communication with the camera. The monitoring device uses the acquired image data of the camera to identify and track patient landmarks, such as facial and/or posture landmarks, and, based on the tracked movement, characterize patient neuroactivity.
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公开(公告)号：US12038354B2
公开(公告)日：2024-07-16
申请号：US17032218
申请日：2020-09-25
Applicant: General Electric Company
Inventor： Zhanpan Zhang , Guangliang Zhao , Jin Xia , John Joseph Mihok , Frank William Ripple, Jr. , Kyle Raymond Barden , Alvaro Enrique Gil
IPC: G01M99/00 , G05B19/042 , G06N20/00
CPC classification number: G01M99/005 , G05B19/042 , G06N20/00 , G05B2219/2619
Abstract: A system and method are provided for operating a power generating asset. Accordingly, a plurality of operational data sets are received by a controller. The operational data sets include at least one indication of a performance anomaly. A plurality of predictive models are implemented by the controller to determine a plurality of potential root causes of the performance anomaly and a plurality of corresponding probabilities for each of the potential root causes. A consolidation model is generated for classifying the plurality of potential root causes and corresponding probabilities. The consolidation model is trained via a training data set to correlate the plurality of potential root causes to an actual root cause for the performance anomaly. The consolidation model is implemented by the controller to determine the actual root cause of the performance anomaly based on the plurality of potential root causes and corresponding probabilities.
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公开(公告)号：US20190145902A1
公开(公告)日：2019-05-16
申请号：US15809531
申请日：2017-11-10
Applicant: General Electric Company
Inventor： Huan Tan , Li Zhang , Romano Patrick , Arpit Jain , Guangliang Zhao , Jilin Tu
Abstract: An asset inspection system includes a robot and a server. The robot collects inspection data corresponding to an asset. The server, includes a user interface, a processor, and a memory. The memory includes instructions that, when executed by the processor, cause the processor to receive the inspection data from the robot, display the inspection data via the user-interface, receive feedback on the inspection data via the user interface, generate a human-assisted inspection based on the received feedback, analyze the inspection data via a trained model, generate an automated inspection based on the analysis by the trained model, combine the automated inspection and the human-assisted inspection to generate an inspection report, and transmit the inspection report for review.
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公开(公告)号：US11727125B2
公开(公告)日：2023-08-15
申请号：US16835683
申请日：2020-03-31
Applicant: GENERAL ELECTRIC COMPANY
Inventor： Alberto Santamaria-Pang , Peter Henry Tu , Naresh Sundaram Iyer , Varish Mulwad , Guangliang Zhao
CPC classification number: G06F21/602 , G06F40/30 , G06F40/58 , G06N3/045
Abstract: Briefly, embodiments are directed to a system, method, and article for acquiring a symbol comprising a representation of input data. The symbol may be converted into an emergent language expression in an emergent language via processing of a first neural network. Transmission of the emergent language expression may be initiated over a communications network, where the emergent language comprises a language based on and specific to the input data. The emergent language expression may be translated back into the representation of the input data via processing of a second neural network.
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公开(公告)号：US11378063B2
公开(公告)日：2022-07-05
申请号：US16797593
申请日：2020-02-21
Applicant: GENERAL ELECTRIC COMPANY
Inventor： Zhanpan Zhang , Peter Alan Gregg , Jin Xia , John Mihok , Guangliang Zhao , Bouchra Bouqata
Abstract: A method of correcting turbine underperformance includes calculating a power production curve using monitored data, detecting changes between the monitored data and a baseline power production curve, generating operability curves for paired operational variables from the monitored data, detecting changes between the operability curves and corresponding baseline operability curves, comparing the changes to a respective predetermined metric, and if the change exceeds the metric, providing feedback to a turbine control system identifying at least one of the paired operational variables for each paired variable in excess of the metric. A system and a non-transitory computer-readable medium are also disclosed.
