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公开(公告)号：US11411983B2
公开(公告)日：2022-08-09
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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公开(公告)号：US10771495B2
公开(公告)日：2020-09-08
申请号：US15454144
申请日：2017-03-09
Applicant: General Electric Company
Inventor： Lalit Keshav Mestha , Olugbenga Anubi , Masoud Abbaszadeh
IPC: H04L29/06
Abstract: The example embodiments are directed to a system and method for neutralizing abnormal signals in a cyber-physical system. In one example, the method includes receiving input signals comprising time series data associated with an asset and transforming the input signals into feature values in a feature space, detecting one or more abnormal feature values in the feature space based on a predetermined normalcy boundary associated with the asset, and determining an estimated true value for each abnormal feature value, and performing an inverse transform of each estimated true value to generate neutralized signals comprising time series data and outputting the neutralized signals.
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公开(公告)号：US10452845B2
公开(公告)日：2019-10-22
申请号：US15453544
申请日：2017-03-08
Applicant: General Electric Company
Inventor： Lalit Keshav Mestha , Santosh Sambamoorthy Veda , Masoud Abbaszadeh , Chaitanya Ashok Baone , Weizhong Yan , Saikat Ray Majumder , Sumit Bose , Annartia Giani , Olugbenga Anubi
Abstract: According to some embodiments, a plurality of heterogeneous data source nodes may each generate a series of current data source node values over time that represent a current operation of an electric power grid. A real-time threat detection computer, coupled to the plurality of heterogeneous data source nodes, may receive the series of current data source node values and generate a set of current feature vectors. The threat detection computer may then access an abnormal state detection model having at least one decision boundary created offline using at least one of normal and abnormal feature vectors. The abnormal state detection model may be executed, and a threat alert signal may be transmitted if appropriate based on the set of current feature vectors and the at least one decision boundary.
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公开(公告)号：US20180284707A1
公开(公告)日：2018-10-04
申请号：US15476124
申请日：2017-03-31
Applicant: General Electric Company
Inventor： Anup Menon , Sree Rama Raju Vetukuri , Olugbenga Anubi , Justin John , Marc Gavin Lindenmuth , Aditya Kumar , RUIJIE SHI , Jonathan Thatcher
IPC: G05B19/042 , F02C9/28
CPC classification number: G05B19/042 , F02C9/28 , F05D2270/07 , F05D2270/20 , G05B2219/2639
Abstract: A dispatch optimization system leverages ambient and market forecast data as well as asset performance and parts-life models to generate recommended operating schedules for gas turbines or other power-generating plant assets that substantially maximize profit while satisfying parts-life constraints. The system generates operating profiles that balance optimal peak fire opportunities with optimal cold part-load opportunities within a maintenance interval or other operating horizon. During real-time operation of the assets, the optimization system can update the operating schedule based on actual market, ambient, and operating data. The system provides information that can assist operators in determining suitable conditions in which to cold part-load or peak-fire the assets in an optimally profitable manner without violating target life constraints.
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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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Patent Agency Ranking
公开(公告)号：US10728282B2
公开(公告)日：2020-07-28
申请号：US15986996
申请日：2018-05-23
Applicant: General Electric Company
Inventor： Lalit Keshav Mestha , Olugbenga Anubi , Hema Achanta
Abstract: Input signals may be received from monitoring nodes of the industrial asset, each input signal comprising time series data representing current operation. A neutralization engine may transform the input signals into feature vectors in feature space, each feature vector being associated with one of a plurality of overlapping batches of received input signals. A dynamic decision boundary may be generated based on the set of feature vectors, and an abnormal state of the asset may be detected based on the set of feature vectors and a predetermined static decision boundary. An estimated neutralized value for each abnormal feature value may be calculated based on the dynamic decision boundary and the static decision boundary such that a future set of feature vectors will be moved with respect to the static decision boundary. An inverse transform of each estimated neutralized value may be performed to generate neutralized signals comprising time series data that are output.
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公开(公告)号：US20180284706A1
公开(公告)日：2018-10-04
申请号：US15476084
申请日：2017-03-31
Applicant: General Electric Company
Inventor： Olugbenga Anubi , Anup Menon , Aditya Kumar
IPC: G05B19/042 , F01D21/00
Abstract: A dispatch optimization system leverages ambient and market forecast data as well as asset performance and parts-life models to generate recommended operating schedules for gas turbines or other power-generating plant assets that substantially maximize profit while satisfying parts-life constraints. The system generates operating profiles that balance optimal peak fire opportunities with optimal cold part-load opportunities within a maintenance interval or other operating horizon. To reduce the computational burden associated with generating the profit-maximizing operating profile, the system uses an estimated price of life value that accounts for creation (by cold part-loading) and exhaustion (by peak fire operation) of factored fired hour credits by means of computing the cost of such credits.
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公开(公告)号：US10931687B2
公开(公告)日：2021-02-23
申请号：US15899903
申请日：2018-02-20
Applicant: General Electric Company
Inventor： Lalit Keshav Mestha , Olugbenga Anubi , Justin Varkey John
Abstract: In some embodiments, an Unmanned Aerial Vehicle (“UAV”) system may be associated with a plurality of monitoring nodes, each monitoring node generating a series of monitoring node values over time that represent operation of the UAV system. An attack detection computer platform may receive the series of current monitoring node values and generate a set of current feature vectors. The attack detection computer platform may access an attack detection model having at least one decision boundary (e.g., created using a set of normal feature vectors a set of attacked feature vectors). The attack detection model may then be executed and the platform may transmit an attack alert signal based on the set of current feature vectors and the at least one decision boundary. According to some embodiments, attack localization and/or neutralization functions may also be provided.
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公开(公告)号：US10916146B2
公开(公告)日：2021-02-09
申请号：US16101072
申请日：2018-08-10
Applicant: General Electric Company
Inventor： Gayathri Seenumani , Hullas Sehgal , James D. Brooks , Harry Kirk Mathews, Jr. , Olugbenga Anubi
Abstract: A convoy management system and method determine determining an inter-vehicle spacing in a convoy formed from two or more vehicles traveling together along one or more routes. Controllers onboard the two or more vehicles are instructed to automatically change movement of at least one of the vehicles in the convoy to maintain the inter-vehicle spacing. The inter vehicle spacing is dynamically changed during movement of the convoy along the one or more routes.
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公开(公告)号：US10452041B2
公开(公告)日：2019-10-22
申请号：US15476124
申请日：2017-03-31
Applicant: General Electric Company
Inventor： Anup Menon , Sree Rama Raju Vetukuri , Olugbenga Anubi , Justin John , Marc Gavin Lindenmuth , Aditya Kumar , Ruijie Shi , Jonathan Thatcher
IPC: G05B19/042 , F02C9/28
Abstract: A dispatch optimization system leverages ambient and market forecast data as well as asset performance and parts-life models to generate recommended operating schedules for gas turbines or other power-generating plant assets that substantially maximize profit while satisfying parts-life constraints. The system generates operating profiles that balance optimal peak fire opportunities with optimal cold part-load opportunities within a maintenance interval or other operating horizon. During real-time operation of the assets, the optimization system can update the operating schedule based on actual market, ambient, and operating data. The system provides information that can assist operators in determining suitable conditions in which to cold part-load or peak-fire the assets in an optimally profitable manner without violating target life constraints.
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