公开(公告)号：US20190121336A1

公开(公告)日：2019-04-25

申请号：US15793590

申请日：2017-10-25

Applicant: General Electric Company

Inventor： Fuxiao XIN ,  Larry SWANSON ,  Rui XU ,  Morgan SALTER ,  Achalesh PANDEY ,  Ramu CHANDRA ,  Weizhong YAN

IPC: G05B23/02 ,  F03D80/50 ,  G06N3/02

Abstract: According to some embodiments, a system and method are provided to model a sparse data asset. The system comprises a processor and a non-transitory computer-readable medium comprising instructions that when executed by the processor perform a method to model a sparse data asset. Relevant data and operational data associated with the newly operational are received. A transfer model based on the relevant data and the received operational data. An input into the transfer model is received and a predication based on data associated with the received operational data and the relevant data is output.

公开(公告)号：US20180260561A1

公开(公告)日：2018-09-13

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

IPC: G06F21/55

CPC classification number: G06F21/554 ,  G05B23/0275 ,  G06F2221/034 ,  Y04S10/522

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.

公开(公告)号：US20180136617A1

公开(公告)日：2018-05-17

申请号：US15806999

申请日：2017-11-08

Applicant: General Electric Company

Inventor： Rui XU ,  Yunwen XU ,  Weizhong YAN

IPC: G05B13/02

CPC classification number: G05B13/0265 ,  G05B13/027 ,  G05B17/02

Abstract: A method of continuously modeling industrial asset performance includes an initial model build block creating a first model based on a combination of an industrial asset historical data, configuration data and training data, filtering at least one of the historical data, configuration data, and training data, and a continuous learning block predicting performance of one or more members of an ensemble of models by evaluating a result of the one or more ensemble members to a predetermined threshold. A model application block pushing a selected model ensemble member to a performance diagnostic center, selecting the member based on comparing model ensemble members to a fielded modeling algorithm. A system and computer-readable medium are disclosed.

公开(公告)号：US20170098164A1

公开(公告)日：2017-04-06

申请号：US15378637

申请日：2016-12-14

Applicant: General Electric Company

Inventor： Naresh Sundaram IYER ,  Anil VARMA ,  James Kenneth ARAGONES ,  Weizhong YAN ,  Piero Patrone BONISSONE ,  Feng XUE

IPC: G06N5/04 ,  G06N99/00 ,  G07C5/00

CPC classification number: G06N5/04 ,  G06N20/00 ,  G06Q10/0631 ,  G06Q10/087 ,  G07C5/008

Abstract: A method for determining fleet conditions and operational management thereof, performed by a central system includes receiving fleet data from at least one distributed data repository. The fleet data is substantially representative of information associated with a fleet of physical assets. The method also includes processing the received fleet data for the fleet using at least one process of a plurality of processes. The plurality of processes assess the received fleet data into processed fleet data. The method additionally includes determining a fleet condition status using the processed fleet data and the at least one process of the plurality of processes. The method further includes generating a fleet response. The fleet response is substantially representative of a next operational step for the fleet of physical assets. The method also includes transmitting the fleet response to at least one of a plurality of fleet response recipients.