公开(公告)号：US10691087B2

公开(公告)日：2020-06-23

申请号：US15827352

申请日：2017-11-30

Applicant: General Electric Company

Inventor： Fernando Javier D'Amato ,  Catherine Mary Graichen ,  Ramu Sharat Chandra

IPC: G05B17/02 ,  G05B19/418 ,  G06F8/35 ,  G06F11/36 ,  G06F17/16 ,  G05B13/04 ,  G06F8/36

Abstract: A method for building a model-based control solution is disclosed. The method includes obtaining, via a model-based control definition sub-unit, a first set of component models from a component model library and defining, via the model-based control definition sub-unit, a system model by interconnecting the first set of component models. Also, the method includes obtaining, via the model-based control definition sub-unit, a first model-based analytic algorithm from a model-based analytic algorithm library and associating, via the model-based control definition sub-unit, the first model-based analytic algorithm with the system model to generate the model-based control solution.

公开(公告)号：US12034741B2

公开(公告)日：2024-07-09

申请号：US17236638

申请日：2021-04-21

Applicant: General Electric Company

Inventor： Weizhong Yan ,  Zhaoyuan Yang ,  Masoud Abbaszadeh ,  Yuh-Shyang Wang ,  Fernando Javier D'Amato ,  Hema Kumari Achanta

IPC: H04L9/40 ,  G06N5/04 ,  G06N20/00 ,  G06F21/55

CPC classification number: H04L63/1416 ,  G06N5/04 ,  G06N20/00 ,  G06F21/55 ,  H04L63/1425 ,  H04L63/1441 ,  H04L63/20

Abstract: A method for detecting a cyberattack on a control system of a wind turbine includes providing a plurality of classification models of the control system. The method also includes receiving, via each of the plurality of classification models, a time series of operating data from one or more monitoring nodes of the wind turbine. The method further includes extracting, via the plurality of classification models, a plurality of features using the time series of operating data. Each of the plurality of features is a mathematical characterization of the time series of operating data. Moreover, the method includes generating an output from each of the plurality of classification models and determining, using a decision fusion module, a probability of the cyberattack occurring on the control system based on a combination of the outputs. Thus, the method includes implementing a control action when the probability exceeds a probability threshold.

公开(公告)号：US20220345468A1

公开(公告)日：2022-10-27

申请号：US17236638

申请日：2021-04-21

Applicant: General Electric Company

Inventor： Weizhong Yan ,  Zhaoyuan Yang ,  Masoud Abbaszadeh ,  Yuh-Shyang Wang ,  Fernando Javier D'Amato ,  Hema Kumari Achanta

IPC: H04L29/06 ,  G06N20/00 ,  G06N5/04

Abstract: A method for detecting a cyberattack on a control system of a wind turbine includes providing a plurality of classification models of the control system. The method also includes receiving, via each of the plurality of classification models, a time series of operating data from one or more monitoring nodes of the wind turbine. The method further includes extracting, via the plurality of classification models, a plurality of features using the time series of operating data. Each of the plurality of features is a mathematical characterization of the time series of operating data. Moreover, the method includes generating an output from each of the plurality of classification models and determining, using a decision fusion module, a probability of the cyberattack occurring on the control system based on a combination of the outputs. Thus, the method includes implementing a control action when the probability exceeds a probability threshold.

公开(公告)号：US20200150706A1

公开(公告)日：2020-05-14

申请号：US16677781

申请日：2019-11-08

Applicant: General Electric Company

Inventor： Alina Fatima Moosvi ,  Vaidhya Nath Venkitanarayanan ,  Irene Michelle Berry ,  Patrick Hammel Hart ,  Hullas Sehgal ,  Fernando Javier D'Amato ,  Charles Joseph Kosuth ,  Deepak Raj Sagi ,  Rajni Kant Burra ,  Megan Ann DeWitt ,  Enno Ubben

IPC: G05F1/66 ,  H02J3/28 ,  G05B19/042 ,  G06F1/26

Abstract: A method for controlling an energy generation and storage system using a multi-layer architecture is provided. The method includes determining, by one or more control devices, a power or energy generation for the energy generation and storage system at a first layer of the multi-layer architecture. The method includes determining, by the one or more control devices, a power or energy set point for the system at a second layer of the multi-layer architecture. The method includes controlling, by the one or more control devices, the energy generation and storage system based, at least in part, on the power or energy setpoint.

公开(公告)号：US20150169811A1

公开(公告)日：2015-06-18

申请号：US14132313

申请日：2013-12-18

Applicant: General Electric Company

Inventor： Norman Arnold Turnquist ,  Changjie Sun ,  Deepak Trivedi ,  Jaydeep Roy ,  Emad Andarawis Andarawis ,  Murat Inalpolat ,  Arun Karthi Subramaniyan ,  Fernando Javier D'Amato ,  Emrah Biyik

IPC: G06F17/50

CPC classification number: G06F17/5018

Abstract: A method implemented using at least one processor includes receiving a plurality of measured operational parameters of a turbo machine having a rotor and a stator. The plurality of measured operational parameters includes a plurality of real-time operational parameters and a plurality of stored operational parameters. The method further includes generating a finite element model of the turbo machine and generating a plurality of snapshots based on the finite element model and the plurality of stored operational parameters. The method further includes generating a reduced order model based on the plurality of snapshots. The method also includes determining an estimated clearance between the rotor and the stator during operation of the turbo machine, based on the reduced order model and the plurality of real-time operational parameters.

Abstract translation: 使用至少一个处理器实现的方法包括接收具有转子和定子的涡轮机的多个测量的操作参数。 多个测量的操作参数包括多个实时操作参数和多个存储的操作参数。 该方法还包括生成涡轮机的有限元模型，并且基于有限元模型和多个存储的操作参数生成多个快照。 该方法还包括基于多个快照生成缩减订单模型。 所述方法还包括基于所述降序模型和所述多个实时操作参数来确定所述涡轮机的操作期间所述转子和所述定子之间的估计间隙。

公开(公告)号：US20140260288A1

公开(公告)日：2014-09-18

申请号：US13840531

申请日：2013-03-15

Applicant: GENERAL ELECTRIC COMPANY

Inventor： Fernando Javier D'Amato ,  Rodrigo Lopez-Negrete de la Fuente ,  Aditya Kumar ,  Emrah Biyik

IPC: F02C9/00

CPC classification number: F02C9/00 ,  F01K13/02 ,  F01K23/101 ,  F05D2220/72 ,  F05D2260/85 ,  Y02E20/16

Abstract: In accordance with one aspect of the present technique, a method is disclosed. The method includes modifying one or more operational parameters of a gas turbine (GT) to increase an exhaust gas temperature above a standard start-up temperature. The method also includes receiving at least one of GT operational data, heat recovery steam generator (HRSG) operational data, and steam turbine (ST) operational data from a plurality of sensors. The method further includes predicting a ST roll-off time based on at least one of the GT operational data, the HRSG operational data, and the ST operational data. The method further includes modifying the one or more operational parameters of the GT to satisfy one or more ST roll-off permissives at the predicted ST roll-off time.

Abstract translation: 根据本技术的一个方面，公开了一种方法。 该方法包括修改燃气轮机（GT）的一个或多个操作参数以将废气温度升高到高于标准起动温度。 该方法还包括从多个传感器接收GT操作数据，热回收蒸汽发生器（HRSG）操作数据和蒸汽涡轮机（ST）操作数据中的至少一个。 该方法还包括基于GT操作数据，HRSG操作数据和ST操作数据中的至少一个来预测ST滚降时间。 该方法还包括修改GT的一个或多个操作参数以在预测的ST滚降时间满足一个或多个ST滚降许可。