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An Ensemble Learning Solution for Predictive Maintenance of Wind Turbines Main Bearing [PDF]
Sensors, 2021 A novel and innovative solution addressing wind turbines’ main bearing failure predictions using SCADA data is presented. This methodology enables to cut setup times and has more flexible requirements when compared to the current predictive algorithms ...
Mattia Beretta +4 more
doaj +2 more sources
Wind Turbine Main Bearing Fault Prognosis Based Solely on SCADA Data [PDF]
Sensors, 2021 As stated by the European Academy of Wind Energy (EAWE), the wind industry has identified main bearing failures as a critical issue in terms of increasing wind turbine reliability and availability.
Ángel Encalada-Dávila +3 more
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Scaling Challenges for Conical Plain Bearings as Wind Turbine Main Bearings
Wind, 2023 Wind energy is an important renewable energy source. Rotor main bearings are critical components of wind turbines since a faulty main bearing leads to downtime and high repair costs. Operational expenditures amount to 32% of wind energy costs. The use of
Jan Euler +5 more
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Contact Load Measurement and Validation for Tapered Rollers in Wind Turbine Main Bearing [PDF]
SensorsAddressing the need for contact load detection in wind turbine main bearings during service, a roller contact load measurement method is proposed. An analytical model characterizes the contact load-to-inner bore strain mapping relationship.
Zhenggang Guo +3 more
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Early Fault Diagnosis Strategy for WT Main Bearings Based on SCADA Data and One-Class SVM
Energies, 2022 To reduce the levelized cost of wind energy, through the reduction in operation and maintenance costs, it is imperative that the wind turbine downtime is reduced through maintenance strategies based on condition monitoring.
Christian Tutivén +4 more
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Photonics, 2023 The main bearing of the shield machine has a huge structure and severe service conditions, which are prone to wear and fatigue damage. To improve the anti-wear and anti-fatigue ability of the raceway surface of the shield main bearing, laser ...
Peiyu He +5 more
doaj +1 more source
Improved Ensemble Learning for Wind Turbine Main Bearing Fault Diagnosis
Applied Sciences, 2021 The goal of this paper is to develop, implement, and validate a methodology for wind turbines’ main bearing fault prediction based on an ensemble of an artificial neural network (normality model designed at turbine level) and an isolation forest (anomaly
Mattia Beretta +4 more
doaj +1 more source
Applied Sciences, 2021 Diesel engine anti-shock performance is important for navy ships. The calculation method is a fast and economic way compared to underwater explosion trial in this field.
Liang Chen +4 more
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Energies, 2022 As clean and low-carbon energy, wind energy has attracted the attention of many countries. The main bearing in the transmission system of large-scale wind turbines (WTs) is the most important part.
Xiaocong Xiao +5 more
doaj +1 more source
Energies, 2020 Condition monitoring for wind turbines is tailored to predict failure and aid in making better operation and maintenance (O&M) decisions. Typically the condition monitoring approaches are concerned with predicting the remaining useful lifetime (RUL) of ...
Benedikt Wiese +3 more
doaj +1 more source