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Comparative Machine Learning Analysis of Sampling Rate and Sensor Localization Effects for Wind Turbine Condition Monitoring

https://doi.org/10.2139/ssrn.6848972
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Analysis of Vibration Signals of Drivetrain Failures in Wind Turbines for Condition Monitoring
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Anomaly detection and critical SCADA parameters identification for wind turbines based on LSTM-AE neural network
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A review of diagnostics and prognostics of low-speed machinery towards wind turbine farm-level health management
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ONE-CLASS SUPPORT VECTOR MACHINES APPROACH TO ANOMALY DETECTION
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Anomaly Detection on Wind Turbines Based on a Deep Learning Analysis of Vibration Signals
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An In-Depth Study and Improvement of Isolation Forest
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A machine learning framework for network anomaly detection using SVM and GA
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A Comprehensive Review on Signal-Based and Model-Based Condition Monitoring of Wind Turbines: Fault Diagnosis and Lifetime Prognosis
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Fault Diagnosis of Wind Turbine Gearbox Using a Novel Method of Fast Deep Graph Convolutional Networks
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Long Short-Term Memory
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Wind Turbine Gearbox Condition Monitoring Round Robin Study – Vibration Analysis
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Exploration of Unsupervised Deep Learning-Based Gear Fault Detection for Wind Turbine Gearboxes
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Vibration Analysis for Fault Detection of Wind Turbine Drivetrains—A Comprehensive Investigation
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