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公开(公告)号:US20180274385A1
公开(公告)日:2018-09-27
申请号:US14905641
申请日:2015-12-11
Applicant: William Forrester SEELY , Xu FU , Mustafa Tekin DOKUCU , Ronghui ZHOU , General Electric Company
Inventor: William Forrester Seely , Xu Fu , Mustafa Tekin Dokucu , Ronghui Zhou
CPC classification number: F01D21/14 , F01D21/003 , F01D21/04 , F01D25/06 , F02C9/00 , F04D27/0261 , F04D29/665 , F05D2240/24 , F05D2260/81 , F05D2260/96 , F05D2270/11 , F05D2270/114 , F05D2270/304 , F05D2270/312 , F05D2270/313 , F05D2270/334 , F05D2270/54 , F05D2270/71 , G01H1/006 , G01H13/00 , G05B13/042
Abstract: A flutter control system for a turbine includes a processor. The processor is configured to detect blade flutter of a turbine. The blade flutter indicates that blades of the turbine are in a deflected position different from a nominal operating position. The processor is configured to control operational parameters of the turbine that reduce or eliminate the blade flutter to improve the reliability and efficiency of the turbine.
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公开(公告)号:US20170300018A1
公开(公告)日:2017-10-19
申请号:US15132963
申请日:2016-04-19
Applicant: General Electric Company
Inventor: Frederick William Block , Scott William Szepek , William Forrester Seely , Mustafa Tekin Dokucu , John Joseph Raffensperger
CPC classification number: F02C9/00 , F05D2260/81 , G05B19/4065 , G05B2219/37255
Abstract: A system includes a model-based control system configured to receive data relating to parameters of a machinery via a plurality of sensors coupled to the machinery and select one or more models configured to generate a desired parameter of the machinery based on a determined relationship between the parameters and the desired parameter. The one or more models represent a performance of a device of the machinery. The model-based control system is configured to generate the desired parameter using the data and the one or more models control a plurality of actuators coupled to the machinery based on the desired parameter. Further, the model-based control system is configured to empirically tune the one or more models based on the data, the one or more parameters, and the desired parameter, compare the empirical tuning to a baseline tuning, and determine an operational state of the device based on the comparison.
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