DETECTION OF ABNORMAL EVENTS

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United States of America Patent

APP PUB NO 20230164156A1
SERIAL NO

17531696

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ATTORNEY / AGENT: (SPONSORED)

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Abstract

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The present disclosure describes methods, apparatuses, and systems to protect wind turbines, wind farms, and power infrastructure. For instance, wind turbines produce several streams of data varying over time, including sensor readings from components in wind turbines, network traffic from SCADA systems, data from wind farm internal networks, data from the internet, etc. According to the techniques described herein, wind farms may be protected by identifying patterns that may not be apparent from individual time series or network data. Embodiments of the present disclosure include integration and fusion of information from various time series data sources and network data sources for detecting patterns in data (e.g., patterns in data that may indicate an abnormal event, such as wind farm component failure, a control system cyber-attack, etc.). For instance, in some cases, such patterns may be used to detect an abnormal event of interest (e.g., such as an attack).

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Patent Owner(s)

Patent OwnerAddress
IRONNET CYBERSECURITY INC7900 TYSONS ONE PLACE SUITE 400 MCLEAN VA 22102

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Grossman, Robert L River Forest, US 12 499
Heath, Jason P Sugarloaf Key, US 1 2

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