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公开(公告)号：US20230036218A1
公开(公告)日：2023-02-02
申请号：US17875285
申请日：2022-07-27
发明人： Aaron Acton , Peter Glover , Mark Diamond , Peter Brett , David Cole , Paul Donegan
摘要： Systems, methods, and processor-readable storage media for AI continued learning in electrical power grid fault analysis use historical fault record data to generate a fault cause prediction model for predicting the cause of a fault, and modify the fault cause prediction model based on additional technician data received from power grid technicians. The systems disclosed herein additionally receive an indication of a fault which has occurred in a power grid, obtain a prediction of the cause of the fault by applying the indication of the fault to the fault cause prediction model, and cause the predicted cause of the fault to be remedied.
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公开(公告)号：US11735912B2
公开(公告)日：2023-08-22
申请号：US17875280
申请日：2022-07-27
发明人： Aaron Acton , Peter Glover , Mark Diamond , Peter Brett , David Cole , Paul Donegan
CPC分类号： H02J3/0012 , G01R31/086 , G01R31/088 , G05B23/0245 , G05B23/0278
摘要： Systems, methods, and processor-readable storage media for AI-assisted electrical power grid fault analysis predict the cause of a fault and cause the fault to be remedied by receiving an indication that a first fault has occurred, identifying a plurality of additional fault records associated with the first fault, obtaining a first prediction of the cause of the fault based on the first fault record and the plurality of fault records by applying the fault records to a machine learning model, obtaining a second prediction of the cause of the fault by applying the fault records to a rules-based model, and obtaining a final prediction of the cause of the first fault based on the first prediction and the second prediction. The final prediction of the cause of the first fault is used to cause the predicted cause of the first fault to be remedied.
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公开(公告)号：US20230035930A1
公开(公告)日：2023-02-02
申请号：US17875280
申请日：2022-07-27
发明人： Aaron Acton , Peter Glover , Mark Diamond , Peter Brett , David Cole , Paul Donegan
IPC分类号： G01R31/08
摘要： Systems, methods, and processor-readable storage media for AI-assisted electrical power grid fault analysis predict the cause of a fault and cause the fault to be remedied by receiving an indication that a first fault has occurred, identifying a plurality of additional fault records associated with the first fault, obtaining a first prediction of the cause of the fault based on the first fault record and the plurality of fault records by applying the fault records to a machine learning model, obtaining a second prediction of the cause of the fault by applying the fault records to a rules-based model, and obtaining a final prediction of the cause of the first fault based on the first prediction and the second prediction. The final prediction of the cause of the first fault is used to cause the predicted cause of the first fault to be remedied.
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