Comparison of methods for wind turbine condition monitoring with SCADA data-Reference-Cited by-同舟云学术

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Comparison of methods for wind turbine condition monitoring with SCADA data

Published:2014-05 Issue:4 Volume:8 Page:390-397
ISSN:1752-1416
Container-title:IET Renewable Power Generation
language:en
Short-container-title:IET Renewable Power Generation

Author:

Wilkinson Michael¹,Darnell Brian¹,Delft Thomas¹,Harman Keir¹

Affiliation:

1. DNV GL‐EnergyRenewables AdvisorySt Vincent's WorksSilverthorne LaneBristolBS2 0QDUK

Publisher

Institution of Engineering and Technology (IET)

Subject

Renewable Energy, Sustainability and the Environment

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-rpg.2013.0318

Reference11 articles.

1. Condition Monitoring of Rotating Electrical Machines

2. Quantification of Condition Monitoring Benefit for Offshore Wind Turbines

3. Condition monitoring of wind turbines: Techniques and methods

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2. A comprehensive review on enhancing wind turbine applications with advanced SCADA data analytics and practical insights;IET Renewable Power Generation;2024-01-24

3. A Review on Condition Monitoring of Wind Turbines Using Machine Learning Techniques;E3S Web of Conferences;2024

4. Fleet-based early fault detection of wind turbine gearboxes using physics-informed deep learning based on cyclic spectral coherence;Mechanical Systems and Signal Processing;2023-02

5. Condition Monitoring of Wind Turbines With Implementation of Interactive Spatio–Temporal Deep Learning Networks;IEEE Transactions on Instrumentation and Measurement;2023

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