Patents by Inventor Guangliang Zhao
Guangliang Zhao has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Patent number: 11875284Abstract: An asset identification and tracking system includes one or more monitoring units configured to monitor at least one designated area. Each of the monitoring units includes an imaging device and one or more processors. The imaging device is configured to generate image data depicting one or more mobile assets that move through the at least one designated area. The one or more processors are operably coupled to the imaging device and configured to analyze the image data to detect and decipher one or more identifiers that are displayed on a particular mobile asset of the one or more mobile assets that move through the at least one designated area. The one or more processors are further configured to generate a detection message that includes the one or more identifiers for communication to an asset control system.Type: GrantFiled: January 19, 2021Date of Patent: January 16, 2024Assignee: TRANSPORTATION IP HOLDINGS, LLCInventors: James D. Brooks, Guangliang Zhao, Weina Ge, Peter Tu, Derek K. Woo, Daniel J. Rush, Adam Franco
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Patent number: 11755965Abstract: An asset identification and tracking system includes one or more monitoring units configured to monitor at least one designated area. Each of the monitoring units includes an imaging device and one or more processors. The imaging device is configured to generate image data depicting one or more mobile assets that move through the at least one designated area. The one or more processors are operably coupled to the imaging device and configured to analyze the image data to detect and decipher one or more identifiers that are displayed on a particular mobile asset of the one or more mobile assets that move through the at least one designated area. The one or more processors are further configured to generate a detection message that includes the one or more identifiers for communication to an asset control system.Type: GrantFiled: April 29, 2020Date of Patent: September 12, 2023Assignee: Transportation IP Holdings, LLCInventors: James D. Brooks, Guangliang Zhao, Weina Ge, Peter Tu, Derek K. Woo, Daniel J. Rush, Adam Franco
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Patent number: 11727125Abstract: 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.Type: GrantFiled: March 31, 2020Date of Patent: August 15, 2023Assignee: General Electric CompanyInventors: Alberto Santamaria-Pang, Peter Henry Tu, Naresh Sundaram Iyer, Varish Mulwad, Guangliang Zhao
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Patent number: 11497418Abstract: 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.Type: GrantFiled: February 5, 2020Date of Patent: November 15, 2022Assignee: General Electric CompanyInventors: Cynthia Elizabeth Landberg Davis, Guangliang Zhao, Tzu-Jen Kao, Aghogho Obi, Nancy Cecelia Stoffel
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Publication number: 20220292666Abstract: A system and method including receiving historical time series sensor data associated with operation of an industrial asset; generating visual representation images of scatter plots based on the historical time series sensor data based on a reference to a digitized knowledge domain associated with the industrial asset; assigning a root cause label to each image; generating a convolutional neural network (CNN) model trained and tested using subsets of the labeled images; and processing, by the CNN model, a real-time image to detect at least one anomaly in the real-time image and one or more root causes associated with the at least one anomaly.Type: ApplicationFiled: August 27, 2020Publication date: September 15, 2022Inventors: Zhanpan ZHANG, Guangliang ZHAO, Jin XIA, John MIHOK, Peter Alan GREGG, Bouchra BOUQATA
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Patent number: 11378063Abstract: 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.Type: GrantFiled: February 21, 2020Date of Patent: July 5, 2022Assignee: General Electric CompanyInventors: Zhanpan Zhang, Peter Alan Gregg, Jin Xia, John Mihok, Guangliang Zhao, Bouchra Bouqata
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Publication number: 20220099532Abstract: 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.Type: ApplicationFiled: September 25, 2020Publication date: March 31, 2022Inventors: Zhanpan Zhang, Guangliang Zhao, Jin Xia, John Joseph Mihok, Frank William Ripple, JR., Kyle Raymond Barden, Alvaro Enrique Gil
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Publication number: 20210303701Abstract: 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.Type: ApplicationFiled: March 31, 2020Publication date: September 30, 2021Inventors: Alberto SANTAMARIA-PANG, Peter Henry TU, Naresh Sundaram IYER, Varish MULWAD, Guangliang ZHAO
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Publication number: 20210262446Abstract: 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.Type: ApplicationFiled: February 21, 2020Publication date: August 26, 2021Inventors: Zhanpan ZHANG, Peter Alan GREGG, Jin XIA, John MIHOK, Guangliang ZHAO, Bouchra BOUQATA
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Publication number: 20210236026Abstract: 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.Type: ApplicationFiled: February 5, 2020Publication date: August 5, 2021Inventors: Cynthia Elizabeth Landberg Davis, Guangliang Zhao, Tzu-Jen Kao, Aghogho Obi, Nancy Cecelia Stoffel
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Publication number: 20210142268Abstract: An asset identification and tracking system includes one or more monitoring units configured to monitor at least one designated area. Each of the monitoring units includes an imaging device and one or more processors. The imaging device is configured to generate image data depicting one or more mobile assets that move through the at least one designated area. The one or more processors are operably coupled to the imaging device and configured to analyze the image data to detect and decipher one or more identifiers that are displayed on a particular mobile asset of the one or more mobile assets that move through the at least one designated area. The one or more processors are further configured to generate a detection message that includes the one or more identifiers for communication to an asset control system.Type: ApplicationFiled: January 19, 2021Publication date: May 13, 2021Inventors: James D. Brooks, Guangliang Zhao, Weina Ge, Peter Tu, Derek K. Woo, Daniel J. Rush, Adam Franco
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Publication number: 20200349498Abstract: An asset identification and tracking system includes one or more monitoring units configured to monitor at least one designated area. Each of the monitoring units includes an imaging device and one or more processors. The imaging device is configured to generate image data depicting one or more mobile assets that move through the at least one designated area. The one or more processors are operably coupled to the imaging device and configured to analyze the image data to detect and decipher one or more identifiers that are displayed on a particular mobile asset of the one or more mobile assets that move through the at least one designated area. The one or more processors are further configured to generate a detection message that includes the one or more identifiers for communication to an asset control system.Type: ApplicationFiled: April 29, 2020Publication date: November 5, 2020Inventors: James D. Brooks, Guangliang Zhao, Weina Ge, Peter Tu, Derek K. Woo, Daniel J. Rush, Adam Franco
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Patent number: 10775314Abstract: 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.Type: GrantFiled: November 10, 2017Date of Patent: September 15, 2020Assignee: GENERAL ELECTRIC COMPANYInventors: Huan Tan, Li Zhang, Romano Patrick, Arpit Jain, Guangliang Zhao, Jilin Tu
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Publication number: 20190145902Abstract: 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.Type: ApplicationFiled: November 10, 2017Publication date: May 16, 2019Inventors: Huan Tan, Li Zhang, Romano Patrick, Arpit Jain, Guangliang Zhao, Jilin Tu