Multi-fault detection and classification of wind turbines using stacking classifier

P Waqas Khan, YC Byun - Sensors, 2022 - mdpi.com
Wind turbines are widely used worldwide to generate clean, renewable energy. The biggest
issue with a wind turbine is reducing failures and downtime, which lowers costs associated …

Wind turbine multi-fault detection and classification based on SCADA data

Y Vidal, F Pozo, C Tutivén - Energies, 2018 - mdpi.com
Due to the increasing installation of wind turbines in remote locations, both onshore and
offshore, advanced fault detection and classification strategies have become crucial to …

A data-driven design for fault detection of wind turbines using random forests and XGboost

D Zhang, L Qian, B Mao, C Huang, B Huang… - Ieee Access, 2018 - ieeexplore.ieee.org
Wind energy has seen great development during the past decade. However, wind turbine
availability and reliability, especially for offshore sites, still need to be improved, which …

Fault detection of wind turbines using SCADA data and genetic algorithm-based ensemble learning

PW Khan, CY Yeun, YC Byun - Engineering Failure Analysis, 2023 - Elsevier
Due to global efforts to reduce the rise in the average global temperature by replacing fossil
fuels, the amount of wind power installed worldwide is continuously increasing. The costs …

Machine learning on fault diagnosis in wind turbines

EYK Ng, JT Lim - Fluids, 2022 - mdpi.com
With the improvement in wind turbine (WT) operation and maintenance (O&M) technologies
and the rise of O&M cost, fault diagnostics in WTs based on a supervisory control and data …

Research on fault detection for three types of wind turbine subsystems using machine learning

Z Liu, C Xiao, T Zhang, X Zhang - Energies, 2020 - mdpi.com
In wind power generation, one aim of wind turbine control is to maintain it in a safe
operational status while achieving cost-effective operation. The purpose of this paper is to …

Fault diagnosis methods based on machine learning and its applications for wind turbines: A review

T Sun, G Yu, M Gao, L Zhao, C Bai, W Yang - Ieee Access, 2021 - ieeexplore.ieee.org
With the increase in the installed capacity of wind power systems, the fault diagnosis and
condition monitoring of wind turbines (WT) has attracted increasing attention. In recent …

Research on wind turbine fault detection based on the fusion of ASL-CatBoost and TtRSA

L Kong, H Liang, G Liu, S Liu - Sensors, 2023 - mdpi.com
The internal structure of wind turbines is intricate and precise, although the challenging
working conditions often give rise to various operational faults. This study aims to address …

Multivariate Anomaly Detection and Early Warning Framework for Wind Turbine Condition Monitoring Using SCADA Data

C Feng, C Liu, D Jiang, D Kong… - Journal of Energy …, 2023 - ascelibrary.org
Wind speed power characteristics are essential in evaluating the state of the wind turbine.
The supervisory control and data acquisition (SCADA) data are massively collected and …

Highly imbalanced fault classification of wind turbines using data resampling and hybrid ensemble method approach

S Chatterjee, YC Byun - Engineering Applications of Artificial Intelligence, 2023 - Elsevier
Deep learning-based incipient fault diagnostic techniques have achieved surprisingly well in
wind turbines. Due to component failures, wind turbines must undergo active maintenance …