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1834-2019 - IEEE Standard for Technology Supervision Code for Wind Turbine Rotor Systems
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ISBN: 1504462564 Year: 2020 Publisher: New York, New York : IEEE,

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As a significant part of wind turbine, the rotor system of wind turbine has the functions of transforming wind energy, and balancing power, load and noise, it is critical to the wind turbine safety and economical operation. A rotor system consists of blade, hub, pitch system and yaw system. A technical supervision code for each part of the rotor system to improve the safety and normal operation is specified in this standard.


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2022 23rd International Carpathian Control Conference (ICCC)
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ISBN: 1665466367 1665466375 Year: 2022 Publisher: Piscataway, New Jersey : IEEE,

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SCADA data modeling for wind turbine gearbox failure detection using machine learning and big data technologies
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Year: 2020 Publisher: Golden, CO : National Renewable Energy Laboratory,

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Use of SCADA data for failure detection in wind turbines
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Year: 2011 Publisher: Golden, CO : National Renewable Energy Laboratory,

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A Timing Approach to Network-Based Anomaly Detection for SCADA Systems.
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ISBN: 9179298362 Year: 2020 Publisher: Linköping : Linkopings Universitet,

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This thesis by Chih-Yuan Lin explores network-based anomaly detection methods for Supervisory Control and Data Acquisition (SCADA) systems, which are crucial for monitoring and controlling infrastructure like power plants and water facilities. With the increasing integration of open protocols and internet connectivity, SCADA systems face heightened vulnerability to sophisticated cyber-attacks, including zero-day exploits. The work focuses on enhancing SCADA security through anomaly detection that models normal traffic patterns and identifies deviations. The study categorizes SCADA traffic into polling and spontaneous types, proposing statistical and machine learning approaches to detect anomalies, achieving high detection rates with minimal false positives. Aimed at researchers and professionals in cybersecurity and SCADA systems, the thesis contributes to developing resilient monitoring systems in critical infrastructures.


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Effects of supervisory train control technology on operator attention
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Year: 2005 Publisher: Cambridge, MA : U.S. Dept. of Transportation, Research and Special Programs Administration, John A. Volpe National Transportation Systems Center,

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Machine learning for gearbox fault prediction by using both SCADA and modeled data
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Year: 2021 Publisher: [Golden, CO] : National Renewable Energy Laboratory,

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Terra defender cyber-physical wargame
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Year: 2017 Publisher: Adelphi, MD : US Army Research Laboratory,

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Cybersecurity threats to the U.S. electric grid and technology advancements to minimize such threats, and testimony on S. 79, the Securing Energy Infrastructure Act : hearing before the Subcommittee on Energy of the Committee on Energy and Natural Resources, United States Senate, One Hundred Fifteenth Congress, first session, March 28, 2017.
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Year: 2018 Publisher: Washington : U.S. Government Publishing Office,

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Securing Energy Infrastructure Act : report (to accompany S. 79) (including cost estimate of the Congressional Budget Office).
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Year: 2018 Publisher: [Washington, D.C.] : [U.S. Government Publishing Office],

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