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公开(公告)号：US11067592B2
公开(公告)日：2021-07-20
申请号：US15809747
申请日：2017-11-10
Applicant: General Electric Company
Inventor： William Edwin Hurst , Mei Gao , Vivek Gandhi , Donald Horn , Gregory Jon Chiaramonte , Katherine Tharp Nowicki , Steven Richard Levin , Michael William Bailey , Ronald Plybon , Mustafa Tekin Dokucu , Aditya Kumar
Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed to perform prognostic health monitoring of a turbine engine. An example apparatus includes a health quantifier calculator to execute a computer-generated model to generate first sensor data of a turbine engine, the first sensor data based on simulating a sensor monitoring the turbine engine using asset monitoring information, a parameter tracker to execute a tracking filter using the first sensor data and second sensor data to generate third sensor data corresponding to the turbine engine, the second sensor data based on obtaining sensor data from a sensor monitoring the turbine engine, the third sensor data based on comparing the first sensor data to the second sensor data, the health quantifier calculator to execute the computer-generated model using the third sensor data to generate an asset health quantifier of the turbine engine; and a report generator to generate a report including the asset health quantifier and a workscope recommendation based on the asset health quantifier when the asset health quantifier satisfies a threshold.
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公开(公告)号：US20210120031A1
公开(公告)日：2021-04-22
申请号：US16654319
申请日：2019-10-16
Applicant: GENERAL ELECTRIC COMPANY
Inventor： Mustafa Tekin Dokucu , Subhrajit Roychowdhury , Olugbenga Anubi , Masoud Abbaszadeh , Justin Varkey John
Abstract: An industrial asset may have monitoring nodes that generate current monitoring node values. An abnormality detection computer may determine that an abnormal monitoring node is currently being attacked or experiencing fault. A dynamic, resilient estimator constructs, using normal monitoring node values, a latent feature space (of lower dimensionality as compared to a temporal space) associated with latent features. The system also constructs, using normal monitoring node values, functions to project values into the latent feature space. Responsive to an indication that a node is currently being attacked or experiencing fault, the system may compute optimal values of the latent features to minimize a reconstruction error of the nodes not currently being attacked or experiencing a fault. The optimal values may then be projected back into the temporal space to provide estimated values and the current monitoring node values from the abnormal monitoring node are replaced with the estimated values.
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3.发明授权Systems and methods for control of an adaptive-cycle engine with power-thermal management system 有权使用电力热管理系统控制自适应循环发动机的系统和方法公开(公告)号：US09354621B2
公开(公告)日：2016-05-31
申请号：US14305063
申请日：2014-06-16
Applicant: GENERAL ELECTRIC COMPANY
Inventor： Eric Richard Westervelt , Benjamin Paul Breig , Mustafa Tekin Dokucu , Neil Richard Garrigan , William Dwight Gerstler , Javier Armando Parrilla
CPC classification number: G05B13/026 , G05B15/02 , G05D23/1917
Abstract: A control system for an adaptive-power thermal management system of an aircraft having at least one adaptive cycle gas turbine engine includes a real time optimization solver that utilizes a plurality of models of systems to be controlled, the plurality of models each being defined by algorithms configured to predict changes to each system caused by current changes in input to each system. The real time optimization solver is configured to solve an open-loop optimal control problem on-line at each of a plurality of sampling times, to provide a series of optimal control actions as a solution to the open-loop optimal control problem. The real time optimization solver implements a first control action in a sequence of control actions and at a next sampling time the open-loop optimal control problem is re-posed and re-solved.
Abstract translation: 用于具有至少一个自适应循环燃气涡轮发动机的飞机的自适应功率热管理系统的控制系统包括利用要控制的多个系统模型的实时优化求解器，所述多个模型各自由算法 配置为预测由每个系统的输入的当前变化引起的每个系统的变化。 实时优化求解器被配置为在多个采样时间中的每一个在线解决开环最优控制问题，以提供作为开环最优控制问题的解决方案的一系列最佳控制动作。 实时优化求解器在控制动作序列中实现第一控制动作，并且在下一个采样时间，重新提出并解决了开环最优控制问题。
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公开(公告)号：US20160115839A1
公开(公告)日：2016-04-28
申请号：US14526223
申请日：2014-10-28
Applicant: GENERAL ELECTRIC COMPANY
Inventor： Sidharth Abrol , Rajeeva Kumar , Mustafa Tekin Dokucu
CPC classification number: F01N3/208 , B01D53/8625 , B01D53/8696 , B01D2251/2062 , F01N2560/00 , F01N2610/02 , F01N2900/14 , F23J2219/10 , F23N2041/20 , G05B15/02 , Y02T10/24 , Y02T50/677
Abstract: A system includes an emissions control system. The emissions control system includes a processor programmed to receive one or more selective catalytic reduction (SCR) operating conditions for an SCR system. The SCR system is included in an aftertreatment system for an exhaust stream. The processor is also programmed to receive one or more gas turbine operating conditions for a gas turbine engine. The gas turbine engine is configured to direct the exhaust stream into the aftertreatment system. The processor is further programmed to derive a NH3 flow to the SCR system based on an SCR model and the one or more SCR operating conditions, to derive a NO/NOx ratio, and to derive a fuel split for the gas turbine engine based on the NH3 flow, the NO/NOx ratio, or a combination thereof.
Abstract translation: 系统包括排放控制系统。 排放控制系统包括被编程为接收用于SCR系统的一个或多个选择性催化还原（SCR）操作条件的处理器。 SCR系统包括在废气流的后处理系统中。 处理器还被编程为接收用于燃气涡轮发动机的一个或多个燃气轮机操作条件。 燃气涡轮发动机构造成将排气流引导到后处理系统中。 处理器进一步被编程为基于SCR模型和一个或多个SCR操作条件导出到SCR系统的NH 3流，以导出NO / NO x比率，并且基于燃料涡轮发动机导出燃气涡轮发动机的燃料分流 NH 3流量，NO / NO x比率或其组合。
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公开(公告)号：US11343266B2
公开(公告)日：2022-05-24
申请号：US16436093
申请日：2019-06-10
Applicant: General Electric Company
Inventor： Masoud Abbaszadeh , Hema K. Achanta , Mustafa Tekin Dokucu , Matthew Nielsen , Justin Varkey John
Abstract: Methods and systems for self-certifying secure operation of a cyber-physical system having a plurality of monitoring nodes. In an embodiment, an artificial intelligence (AI) watchdog computer platform obtains, using the output of a local features extraction process of time series data of a plurality of monitoring nodes of a cyber-physical system and a global features extraction process, global features extraction data. The AI watchdog computer platform then obtains reduced dimensional data, generates an updated decision boundary, compares the updated decision boundary to a certification manifold, determines based on the comparison that the updated decision boundary is certified, and determines, based on an anomaly detection process, whether the cyber-physical system is behaving normally or abnormally.
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Patent Agency Ranking
公开(公告)号：US11070584B1
公开(公告)日：2021-07-20
申请号：US16734499
申请日：2020-01-06
Applicant: GENERAL ELECTRIC COMPANY
Inventor： Honggang Wang , Masoud Abbaszadeh , Mustafa Tekin Dokucu
IPC: H04L29/06 , G05B19/406
Abstract: A procedure for neutralizing an attack on a control system of an industrial asset includes detecting an anomaly in a first sensor node associated with a first unit operating in a first operational mode, and receiving time series data associated with the first sensor node. A subset of the time series data is provided to each of a plurality of virtual sensor models A first virtual sensor model is selected from among a plurality of virtual sensor models based upon the subset of the time series data received by each of the plurality of virtual sensor models. A first confidence level of the first virtual sensor is determined. Responsive to determining that the first confidence level is below a first confidence level threshold, the first unit is transferred to a second operational mode using sensor readings associated with a second sensor node of a second unit of the industrial asset.
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公开(公告)号：US10809683B2
公开(公告)日：2020-10-20
申请号：US15794769
申请日：2017-10-26
Applicant: General Electric Company
Inventor： Chaitanya Ashok Baone , Nan Duan , Anup Menon , Mustafa Tekin Dokucu
IPC: G06F30/20 , G05B17/02 , H02J13/00 , G06F30/367 , H02J3/24
Abstract: A power system model parameter conditioning tool including a server control processor in communication with phasor measurement unit monitored data records of multiple disturbance events, a model calibration unit providing event screening, power system model simulation, and simultaneous tuning of model parameters. The model calibration performing a simulation using default model parameters, the processor comparing the simulation results to the monitored data. If the prediction is within threshold, then terminating conditioning; else performing parameter identifiability analysis to determine differing effects of various model parameters on power system model accuracy, selecting a parameter set causing a degradation in power system model prediction, and updating the default model parameters corresponding to members of the parameter set with values selected to reduce the degradation. A method and a non-transitory computer readable medium are also disclosed.
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公开(公告)号：US10358983B2
公开(公告)日：2019-07-23
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
IPC: G05B13/04 , F02C9/00 , G05B19/4065
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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公开(公告)号：US20190146000A1
公开(公告)日：2019-05-16
申请号：US15809747
申请日：2017-11-10
Applicant: General Electric Company
Inventor： William Edwin Hurst , Mei Gao , Vivek Gandhi , Donald Horn , Gregory Jon Chiaramonte , Katherine Tharp Nowicki , Steven Richard Levin , Michael William Bailey , Ronald Plybon , Mustafa Tekin Dokucu , Aditya Kumar
Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed to perform prognostic health monitoring of a turbine engine. An example apparatus includes a health quantifier calculator to execute a computer-generated model to generate first sensor data of a turbine engine, the first sensor data based on simulating a sensor monitoring the turbine engine using asset monitoring information, a parameter tracker to execute a tracking filter using the first sensor data and second sensor data to generate third sensor data corresponding to the turbine engine, the second sensor data based on obtaining sensor data from a sensor monitoring the turbine engine, the third sensor data based on comparing the first sensor data to the second sensor data, the health quantifier calculator to execute the computer-generated model using the third sensor data to generate an asset health quantifier of the turbine engine; and a report generator to generate a report including the asset health quantifier and a workscope recommendation based on the asset health quantifier when the asset health quantifier satisfies a threshold.
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公开(公告)号：US10006330B2
公开(公告)日：2018-06-26
申请号：US14526223
申请日：2014-10-28
Applicant: GENERAL ELECTRIC COMPANY
Inventor： Sidharth Abrol , Rajeeva Kumar , Mustafa Tekin Dokucu
CPC classification number: F01N3/208 , B01D53/8625 , B01D53/8696 , B01D2251/2062 , F01N2560/00 , F01N2610/02 , F01N2900/14 , F23J2219/10 , F23N2041/20 , G05B15/02 , Y02T10/24 , Y02T50/677
Abstract: A system includes an emissions control system. The emissions control system includes a processor programmed to receive one or more selective catalytic reduction (SCR) operating conditions for an SCR system. The SCR system is included in an aftertreatment system for an exhaust stream. The processor is also programmed to receive one or more gas turbine operating conditions for a gas turbine engine. The gas turbine engine is configured to direct the exhaust stream into the aftertreatment system. The processor is further programmed to derive a NH3 flow to the SCR system based on an SCR model and the one or more SCR operating conditions, to derive a NO/NOx ratio, and to derive a fuel split for the gas turbine engine based on the NH3 flow, the NO/NOx ratio, or a combination thereof.
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