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    Condition Monitoring of Wind Turbine Planetary Gearboxes Under Different Operating Conditions 

    Source: Journal of Engineering for Gas Turbines and Power:;2020:;volume( 142 ):;issue: 003
    Author(s): Mauricio, Alexandre; Sheng, Shuangwen; Gryllias, Konstantinos
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Digitally enhanced services for wind power could reduce operations and maintenance costs as well as the levelized cost of energy. Therefore, there is a continuous need for advanced monitoring techniques, which can exploit ...
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    Comparison of Blind Diagnostic Indicators for Condition Monitoring of Wind Turbine Gearbox Bearings 

    Source: Journal of Engineering for Gas Turbines and Power:;2022:;volume( 144 ):;issue: 004:;page 41019-1
    Author(s): Qi, Junyu; Mauricio, Alexandre; Gryllias, Konstantinos
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Under the pressure of climate change, renewable energy gradually replaces fossil fuels and plays nowadays a significant role in energy production. Among different types of energy sources, wind power covered 14% of the EU's ...
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    Application of Cyclo-Nonstationary Indicators for Bearing Monitoring Under Varying Operating Conditions 

    Source: Journal of Engineering for Gas Turbines and Power:;2018:;volume( 140 ):;issue: 001:;page 12501
    Author(s): Gryllias, Konstantinos; Moschini, Simona; Antoni, Jerome
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Condition monitoring assesses the operational health of rotating machinery, in order to provide early and accurate warning of potential failures such that preventative maintenance actions may be taken. To achieve this ...
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    Vibration-Based Condition Monitoring of Wind Turbine Gearboxes Based on Cyclostationary Analysis 

    Source: Journal of Engineering for Gas Turbines and Power:;2019:;volume( 141 ):;issue: 003:;page 31026
    Author(s): Mauricio, Alexandre; Qi, Junyu; Gryllias, Konstantinos
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Wind industry experiences a tremendous growth during the last few decades. As of the end of 2016, the worldwide total installed electricity generation capacity from wind power amounted to 486,790 MW, presenting an increase ...
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    Vibration-Based Condition Monitoring of Helicopter Gearboxes Based on Cyclostationary Analysis 

    Source: Journal of Engineering for Gas Turbines and Power:;2020:;volume( 142 ):;issue: 003
    Author(s): Mauricio, Alexandre; Zhou, Linghao; Mba, David; Gryllias, Konstantinos
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The core of a helicopter drivetrain is a complex planetary main gearbox (MGB), which reduces the high input speed generated by the engines in order to provide the appropriate torque to the main rotors and to other auxiliary ...
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    Novel Cyclo-Nonstationary Indicators for Monitoring of Rotating Machinery Operating Under Speed and Load Varying Conditions 

    Source: Journal of Engineering for Gas Turbines and Power:;2022:;volume( 144 ):;issue: 004:;page 41018-1
    Author(s): Mauricio, Alexandre; Helm, Dustin; Timusk, Markus; Antoni, Jerome; Gryllias, Konstantinos
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Condition monitoring arises as a valuable industrial process in order to assess the health of rotating machinery, providing early and accurate warning of potential failures and allowing for the planning and effective ...
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    GLDAN: Global and Local Domain Adaptation Network for Cross-Wind Turbine Fault Diagnosis 

    Source: Journal of Engineering for Gas Turbines and Power:;2023:;volume( 146 ):;issue: 003:;page 31009-1
    Author(s): Peng, Dandan; Desmet, Wim; Gryllias, Konstantinos
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Operating under harsh conditions and exposed to fluctuating loads for extended periods, wind turbines experience a heightened vulnerability in their key components. Early fault detection is crucial to enhance the reliability ...
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    Condition Monitoring of Wind Turbines Based on Anomaly Detection Using Deep Support Vector Data Description 

    Source: Journal of Engineering for Gas Turbines and Power:;2023:;volume( 145 ):;issue: 009:;page 91009-1
    Author(s): Peng, Dandan; Liu, Chenyu; Desmet, Wim; Gryllias, Konstantinos
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Wind turbine condition monitoring is considered a key task in the wind power industry. A plethora of methodologies based on machine learning have been proposed for monitoring wind turbines, but the absence of faulty data ...
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    Condition Monitoring of Wind Turbine Drivetrain Bearings 

    Source: Journal of Engineering for Gas Turbines and Power:;2024:;volume( 146 ):;issue: 007:;page 71001-1
    Author(s): Gryllias, Konstantinos; Qi, Junyu; Mauricio, Alexandre; Liu, Chenyu
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: As an extremely valuable and reliable energy source, the renewable energy is developing around the world at an unprecedented pace. By the end of 2022, the global installed capacity of offshore wind turbines is expected to ...
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    Optimization of Stern Bearing Lubrication Performance Under Misaligned Journal Conditions Based on Length-to-Diameter Ratio 

    Source: Journal of Tribology:;2025:;volume( 148 ):;issue: 001:;page 14102-1
    Author(s): Zhou, Zhenjiang; Zhou, Xincong; Gryllias, Konstantinos; Zhu, Hanhua; Liu, Xueshen
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: -
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