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公开(公告)号：US20170323274A1
公开(公告)日：2017-11-09
申请号：US15346571
申请日：2016-11-08
Applicant: General Electric Company
Inventor： Christopher Donald Johnson , Matthew Christian Nielsen , Ilkin Onur Dulgeroglu , David S. Toledano , Victor Manuel Perez Zarate , Chien-Hung Chen
CPC classification number: G06Q10/20 , G05B13/041 , G05B23/0251 , G06Q10/0635 , G06Q10/067 , Y02P90/86
Abstract: A method of providing a recommendation for optimizing operations of a set of industrial assets is disclosed. Digital twins of the set of industrial assets are generated. The digital twins include data structures representing states of each of a plurality of subsystems of the set of industrial assets over a time period. The states are estimated based on an application of simulations using cumulative damage models. The cumulative damage models model the effects of exogenous factors on the operation of the set of industrial assets over the time period. The digital twins are analyzed with respect to simulated operating performances to determine an optimized control of operations of the industrial assets. The optimized control of operations is calculated to jointly and severally to increase the specified operating performance criteria in time present and future of the industrial assets or decrease an economic risk associated with the operation of the industrial assets, within a specified probability. The recommendation is presented In a user interface for use in optimizing the operation of the industrial assets or automatically changing operating setpoints pertaining to the industrial assets.
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公开(公告)号：US10417614B2
公开(公告)日：2019-09-17
申请号：US15346571
申请日：2016-11-08
Applicant: General Electric Company
Inventor： Christopher Donald Johnson , Matthew Christian Nielsen , Ilkin Onur Dulgeroglu , David S. Toledano , Victor Manuel Perez Zarate , Chien-Hung Chen
Abstract: A method of providing a recommendation for optimizing operations of a set of industrial assets is disclosed. Digital twins of the set of industrial assets are generated. The digital twins include data structures representing states of each of a plurality of subsystems of the set of industrial assets over a time period. The states are estimated based on an application of simulations using cumulative damage models. The cumulative damage models model the effects of exogenous factors on the operation of the set of industrial assets over the time period. The digital twins are analyzed with respect to simulated operating performances to determine an optimized control of operations of the industrial assets. The optimized control of operations is calculated to jointly and severally to increase the specified operating performance criteria in time present and future of the industrial assets or decrease an economic risk associated with the operation of the industrial assets, within a specified probability. The recommendation is presented in a user interface for use in optimizing the operation of the industrial assets or automatically changing operating setpoints pertaining to the industrial assets.
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