Results 41 to 50 of about 14,226 (228)

Empirical Physics‐Based Normal Behavior Modeling of Drive Train Temperatures With High‐Resolution Wind Turbine Operating Data

open access: yesWind Energy, EarlyView.
ABSTRACT The installed wind energy capacity increases every year. However, operation and maintenance costs still make up a considerable portion of the levelized costs of electricity. This costs can be greatly reduced by the application of suitable early fault detection methods. The supervisory control and data acquisition system of wind turbines is one
Timo Lichtenstein   +2 more
wiley   +1 more source

Field‐Data‐Based Wind Turbine Reliability Modelling: Quantifying Effects of Operating Age, Design and Technological Development

open access: yesWind Energy, Volume 29, Issue 5, May 2026.
ABSTRACT As wind energy continues to expand, ensuring the reliability of wind turbines is critical for optimising operational efficiency and minimising downtime. Based on maintenance data from over 1,000 onshore and offshore wind turbines covering more than 4200 operating years, this study presents an analysis of wind turbine failure behaviour over ...
Julia Walgern   +3 more
wiley   +1 more source

Feasibility of Hydrostatic Transmission in Community Wind Turbines

open access: yesActuators, 2023
This study investigates the potential improvement of a community wind turbine through replacing the conventional drivetrain with a hydrostatic transmission (HST). Conventional wind turbines use a fixed-ratio gearbox, a variable-speed induction generator,
Yingkun Sheng   +2 more
doaj   +1 more source

Weibull‐Neural Network Framework for Wind Turbine Lifetime Monitoring and Disturbance Identification

open access: yesWind Energy, Volume 29, Issue 4, April 2026.
ABSTRACT Wind turbines are vital for sustainable energy, yet their reliability under diverse operational and environmental conditions remains a challenge, often leading to costly failures. This study presents a novel Weibull‐Neural Network Framework to enhance wind turbine lifetime monitoring by estimating reliability (R(t)) and mean residual life (MRL)
Fatemeh Kiadaliry   +2 more
wiley   +1 more source

On Cointegration Analysis for Condition Monitoring and Fault Detection of Wind Turbines Using SCADA Data

open access: yesEnergies, 2023
Cointegration theory has been recently proposed for condition monitoring and fault detection of wind turbines. However, the existing cointegration-based methods and results presented in the literature are limited and not encouraging enough for the ...
Phong B. Dao
doaj   +1 more source

Condition monitoring wind turbine gearboxes using on-line/in-line oil analysis techniques [PDF]

open access: yes, 2011
Paper examining condition monitoring wind turbine gearboxes using on-line/in-line oil analysis ...
Quail, Francis J.
core  

Effects of Carbon Nanoparticles on Triboelectro‐Induced Surface Defects

open access: yesAdvanced Engineering Materials, Volume 28, Issue 6, 18 March 2026.
Carbon nanoparticles added to grease modify the electrocontact behavior. The synergy of particle concentration and electric current dominates the surface damage of metals in contact. Electrical surface damage caused by current leakage is a critical challenge in high‐performance applications such as electric vehicle (EV) drivetrains and wind turbine ...
Mohsen Tajedini   +6 more
wiley   +1 more source

Contra-rotating marine current turbines : single point tethered floating system - stabilty and performance [PDF]

open access: yes, 2009
The Energy Systems Research Unit within the Department of Mechanical Engineering at the University of Strathclyde has developed a novel contra-rotating tidal turbine (CoRMaT). A series of tank and sea tests have led to the development and deployment of a
Clarke, Joseph Andrew   +4 more
core  

Designing Wind Turbine Condition Monitoring Systems Suitable for Harsh Environments [PDF]

open access: yes, 2013
Research into wind turbine condition monitoring is continually receiving greater attention due to the potential benefits from condition monitoring systems (CMS). These benefits can only be realised with high reliability of the condition monitoring system
Booth, Campbell   +3 more
core   +1 more source

Using Multiple Regression Models and Methods to Estimate Fatigue‐Life Distributions and Construct Constant‐Life Diagrams

open access: yesApplied Stochastic Models in Business and Industry, Volume 42, Issue 2, March/April 2026.
ABSTRACT Fatigue is the most common reliability failure mechanism and has been studied widely since the 19th century. Material specimens are used in laboratory experiments to obtain fatigue test data. An S‐N curve is used to depict the relationship between the stress (or strain) S$$ S $$ and the number of cycles to failure N$$ N $$. Statistical methods
Diaz F. Aksioma   +2 more
wiley   +1 more source

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