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Patent Agency Ranking
公开(公告)号：US20170356349A1
公开(公告)日：2017-12-14
申请号：US15182381
申请日：2016-06-14
Applicant: General Electric Company
Inventor： Xiaomo Jiang , Ilan Leibu , Lijie Yu , Devang Jagdish Gandhi , Karen Warren Miller , Matthew Everett Moore , Ketan Kalele
CPC classification number: F02C9/46 , F01D21/003 , F05D2270/051 , F05D2270/44 , G01M15/14
Abstract: A monitoring system for a gas turbine includes a processor configured to receive an operating signal indicating an operating parameter of the gas turbine. The processor is configured to predict an occurrence of a lean blowout (LBO) event based on the operating parameter and an entropy ratio of combustion dynamics associated with a combustor of the gas turbine, wherein the LBO event corresponds to when the combustor stops firing. The processor is configured to send an alarm signal indicating the predicted LBO event to an electronic device prior to the occurrence of the LBO event.
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公开(公告)号：US10047757B2
公开(公告)日：2018-08-14
申请号：US15189776
申请日：2016-06-22
Applicant: General Electric Company
Abstract: Systems and methods for predicting a surge event in a compressor of a turbomachine are provided. According to one embodiment of the disclosure, a system may include one or more computer processors associated with the turbomachine. The one or more computer processors may be operable to receive a plurality of performance parameters of the compressor and analyze the plurality of performance parameters to determine corrected performance values of the performance parameters. Based at least partially on the corrected performance values, a compressor efficiency may be determined. The processor may be further operable to standardize the compressor efficiency for a standard mode of operation, ascertain historical performance data associated with the standard mode of operation, and analyze the compressor efficiency based at least partially on the historical performance data. Based on the analysis of the compressor efficiency, a surge event may be selectively predicted.
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公开(公告)号：US20170115182A1
公开(公告)日：2017-04-27
申请号：US14920421
申请日：2015-10-22
Applicant: General Electric Company
Inventor： Matthew Everett Moore , Sameer Vittal , Sanjeev Shyam Heda , Alexander James Pistner
CPC classification number: G01M15/14 , G06F17/18 , G06Q10/0635 , G06Q10/06395 , G06Q10/20
Abstract: Systems and methods for determining risk to operating a turbomachine are provided. According to one embodiment of the disclosure, a method may include receiving historical risk profile data associated with a fleet of turbomachines by at least one processor from a repository. The method can also include receiving ambient conditions of an environment in which a turbomachine is to be operated. Based at least in part on the historical risk profile data and in view of the ambient conditions, at least one risk threshold for at least one known operating profile can be developed. The method may continue with determining that the at least one risk threshold for the at least one known operating profile is reached. Based at least in part on a determination that the at least one risk threshold is reached, a mitigating action associated with the turbomachine can be taken.
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公开(公告)号：US10047679B2
公开(公告)日：2018-08-14
申请号：US15182381
申请日：2016-06-14
Applicant: General Electric Company
Inventor： Xiaomo Jiang , Ilan Leibu , Lijie Yu , Devang Jagdish Gandhi , Karen Warren Miller , Matthew Everett Moore , Ketan Kalele
Abstract: A monitoring system for a gas turbine includes a processor configured to receive an operating signal indicating an operating parameter of the gas turbine. The processor is configured to predict an occurrence of a lean blowout (LBO) event based on the operating parameter and an entropy ratio of combustion dynamics associated with a combustor of the gas turbine, wherein the LBO event corresponds to when the combustor stops firing. The processor is configured to send an alarm signal indicating the predicted LBO event to an electronic device prior to the occurrence of the LBO event.
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公开(公告)号：US20170370368A1
公开(公告)日：2017-12-28
申请号：US15189776
申请日：2016-06-22
Applicant: General Electric Company
IPC: F04D27/00
CPC classification number: F04D27/001 , F05D2220/32 , F05D2260/81 , F05D2260/821 , F05D2260/83 , F05D2270/101 , F05D2270/44
Abstract: Systems and methods for predicting a surge event in a compressor of a turbomachine are provided. According to one embodiment of the disclosure, a system may include one or more computer processors associated with the turbomachine. The one or more computer processors may be operable to receive a plurality of performance parameters of the compressor and analyze the plurality of performance parameters to determine corrected performance values of the performance parameters. Based at least partially on the corrected performance values, a compressor efficiency may be determined. The processor may be further operable to standardize the compressor efficiency for a standard mode of operation, ascertain historical performance data associated with the standard mode of operation, and analyze the compressor efficiency based at least partially on the historical performance data. Based on the analysis of the compressor efficiency, a surge event may be selectively predicted.
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