Event analysis in an electric power system
Abstract
According to some embodiments, system and methods are provided including receiving, via a communication interface of an event detection and classification module comprising a processor, data from one or more sensors in a system; determining an event occurred based on the received data; applying a coherency similarity process to the received data via a classification module; determining whether the event is an actual event or a mal-doer event based on an output of the classification module; transmitting the determination of the event as the actual or the mal-doer event; and modifying operation of the system based on the transmitted output. Numerous other aspects are provided.
- Inventors:
- Issue Date:
- Research Org.:
- General Electric Co., Schenectady, NY (United States)
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1998408
- Patent Number(s):
- 11657148
- Application Number:
- 16/409,189
- Assignee:
- General Electric Company (Schenectady, NY)
- DOE Contract Number:
- OE0000830
- Resource Type:
- Patent
- Resource Relation:
- Patent File Date: 05/10/2019
- Country of Publication:
- United States
- Language:
- English
Citation Formats
Hart, Philip Joseph, and Wang, Honggang. Event analysis in an electric power system. United States: N. p., 2023.
Web.
Hart, Philip Joseph, & Wang, Honggang. Event analysis in an electric power system. United States.
Hart, Philip Joseph, and Wang, Honggang. Tue .
"Event analysis in an electric power system". United States. https://www.osti.gov/servlets/purl/1998408.
@article{osti_1998408,
title = {Event analysis in an electric power system},
author = {Hart, Philip Joseph and Wang, Honggang},
abstractNote = {According to some embodiments, system and methods are provided including receiving, via a communication interface of an event detection and classification module comprising a processor, data from one or more sensors in a system; determining an event occurred based on the received data; applying a coherency similarity process to the received data via a classification module; determining whether the event is an actual event or a mal-doer event based on an output of the classification module; transmitting the determination of the event as the actual or the mal-doer event; and modifying operation of the system based on the transmitted output. Numerous other aspects are provided.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2023},
month = {5}
}
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