has been cited by the following article(s):
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[1]
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Condition Monitoring of Ship Propulsion Systems: State-of-the-Art, Development Trend and Role of Digital Twin
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International …,
2021 |
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[2]
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Wind Farm Fault Detection by Monitoring Wind Speed in the Wake Region
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2020 |
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[3]
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Tribological challenges and advancements in wind turbine bearings: A review
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Engineering Failure Analysis,
2020 |
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[4]
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Fault Detection of Offshore Wind Turbine Drivetrain, State-of-the-Art, Development Trend and Role of Digital Twin
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2019 |
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[5]
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Wind Turbine Blade Fault Detection Using Wavelet Power Spectrum and Experimental Modal Analysis
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Kindi - International Journal of Renewable …,
2018 |
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[6]
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Vibration monitoring, fault detection, and bearings replacement of a real wind turbine
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Journal of the Brazilian Society of Mechanical Sciences and Engineering,
2017 |
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[7]
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Electrical signature analysis based condition monitoring and diagnostics techniques for wind turbines
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2017 |
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[8]
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A review of wind turbine bearing condition monitoring: State of the art and challenges
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Renewable and Sustainable Energy Reviews,
2016 |
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[1]
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A methodological approach for detecting multiple faults in wind turbine blades based on vibration signals and machine learning
Curved and Layered Structures,
2023
DOI:10.1515/cls-2022-0214
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[2]
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Early Warning Model of Wind Turbine Front Bearing Based on Conv1D and LSTM
2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM),
2021
DOI:10.1109/IEEM50564.2021.9672830
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[3]
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Tribological challenges and advancements in wind turbine bearings: A review
Engineering Failure Analysis,
2020
DOI:10.1016/j.engfailanal.2020.104885
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[4]
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Wind Farm Fault Detection by Monitoring Wind Speed in the Wake Region
Energies,
2020
DOI:10.3390/en13246559
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[5]
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Vibration monitoring, fault detection, and bearings replacement of a real wind turbine
Journal of the Brazilian Society of Mechanical Sciences and Engineering,
2017
DOI:10.1007/s40430-017-0853-2
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[6]
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Electrical signature analysis based condition monitoring and diagnostics techniques for wind turbines
2017 IEEE 11th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED),
2017
DOI:10.1109/DEMPED.2017.8062377
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[7]
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A review of wind turbine bearing condition monitoring: State of the art and challenges
Renewable and Sustainable Energy Reviews,
2016
DOI:10.1016/j.rser.2015.11.032
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