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A Condition Monitoring Approach Based on Multiple Linear Models for Fault Detection in Industrial-Scale Wind Farms

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Outgoing claims: the papers this work cites, builds on, or argues with.

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Climate change impacts on wind power generation for the Italian peninsula

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Why we must move beyond LCOE for renewable energy design

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Wind turbine reliability: A comprehensive review towards effective condition monitoring development

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A survey of artificial neural network in wind energy systems

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Multi-target normal behaviour models for wind farm condition monitoring

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Wind turbine condition monitoring based on SCADA data using normal behavior models. Part 1: System description

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Wind turbine condition monitoring based on SCADA data using normal behavior models. Part 2: Application examples

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SCADA-data-based wind turbine fault detection: A dynamic model sensor method

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Comparative study of feature selection methods for wind speed estimation at ungauged locations

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Effects of the pre-processing algorithms in fault diagnosis of wind turbines

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A combined mono- and multi-turbine approach for fault indicator synthesis and wind turbine monitoring using SCADA data

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The wind energy (r)evolution: A short review of a long history

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Model-based fault detection, fault isolation and fault-tolerant control of a blade pitch system in floating wind turbines

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Machine learning methods for wind turbine condition monitoring: A review

inferredcites →https://doi.org/10.1016/j.renene.2022.02.061openalex-extracted

Anomaly detection and condition monitoring of wind turbine gearbox based on LSTM-FS and transfer learning

inferredcites →https://doi.org/10.1016/j.rser.2015.10.149openalex-extracted

Fault analysis of wind turbines in China

inferredcites →https://doi.org/10.1016/j.ymssp.2010.12.007openalex-extracted

Comparative analysis of neural network and regression based condition monitoring approaches for wind turbine fault detection

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Offshore Wind Turbines: Reliability, availability and maintenance

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Comparison of estimators and feature selection procedures in forest inventory based on airborne laser scanning and digital aerial imagery

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A Review of machine learning techniques for wind turbine’s fault detection, diagnosis, and prognosis

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Wind Turbine Failure Prediction Using SCADA Data

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Wind Turbine Failures - Tackling current Problems in Failure Data Analysis

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Bearing temperature monitoring of a Wind Turbine using physics-based model

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A Comprehensive Review on Signal-Based and Model-Based Condition Monitoring of Wind Turbines: Fault Diagnosis and Lifetime Prognosis

inferredcites →https://doi.org/10.1109/tim.2022.3196116openalex-extracted

A Normal Behavior Model Based on Power Curve and Stacked Regressions for Condition Monitoring of Wind Turbines

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Unsupervised Feature Selection of Multi-Sensor SCADA Data in Horizontal Axis Wind Turbine Condition Monitoring

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Feature Selection

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Ultra-short-term wind forecast of the wind farm based on VMD-BiGRU

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A comparison of penalised regression methods for informing the selection of predictive markers

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A review of the application of oil analysis in condition monitoring and life prediction of wind turbine gearboxes

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An Introduction to Numerical Analysis

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Support Vector Machines for Fault Detection in Wind Turbines

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On the Interpretability of Machine Learning Models and Experimental Feature Selection in Case of Multicollinear Data

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Normal Behaviour Models for Wind Turbine Vibrations: Comparison of Neural Networks and a Stochastic Approach

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Wind Farm Modeling with Interpretable Physics-Informed Machine Learning

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Using SCADA Data for Wind Turbine Condition Monitoring: A Systematic Literature Review

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A Review on Failure Modes of Wind Turbine Components

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Use of Learning Mechanisms to Improve the Condition Monitoring of Wind Turbine Generators: A Review

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A Review of Predictive Techniques Used to Support Decision Making for Maintenance Operations of Wind Turbines

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A Review of Research on Wind Turbine Bearings’ Failure Analysis and Fault Diagnosis

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Vibration Analysis for Fault Detection of Wind Turbine Drivetrains—A Comprehensive Investigation

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Analysis of Wind Turbine Equipment Failure and Intelligent Operation and Maintenance Research

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A Generalized Wind Turbine Anomaly Detection Method Based on Combined Probability Estimation Model

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Data-driven Model Generation Process for Thermal Monitoring of Wind Farm Main Components through Residual Indicators Analysis

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Data-driven Model Generation Process for Thermal Monitoring of Wind Farm Main Components through Residual Indicators Analysis

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Change-point detection in wind turbine SCADA data for robust condition monitoring with normal behaviour models

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