scholarly journals Retracted: Manifold learning‐based fuzzy k ‐principal curve similarity evaluation for wind turbine condition monitoring

2018 ◽  
Vol 6 (6) ◽  
pp. 727-738 ◽  
Author(s):  
Nanqi Yuan ◽  
Wenli Yang ◽  
Byeong Kang ◽  
Shuxiang Xu ◽  
Xiaolin Wang ◽  
...  
Keyword(s):  
Wind Turbine ◽  
Condition Monitoring ◽  
Manifold Learning ◽  
Principal Curve ◽  
Curve Similarity

A Novel Blind Deconvolution Based on Sparse Subspace Recoding for Condition Monitoring of Wind Turbine Gearbox

2021 ◽  
Author(s):  
Zhipeng Ma ◽  
Ming Zhao ◽  
Bowen Li ◽  
Hongwei Fan
Keyword(s):  
Wind Turbine ◽  
Condition Monitoring ◽  
Blind Deconvolution ◽  
Wind Turbine Gearbox

scholarly journals Optimal Preventive Maintenance of Wind Turbine Components with Imperfect Continuous Condition Monitoring

Energies ◽  
2019 ◽  
Vol 12 (19) ◽  
pp. 3801 ◽  
Author(s):  
Ahmed Raza ◽  
Vladimir Ulansky
Keyword(s):  
Wind Turbine ◽  
Condition Monitoring ◽  
Preventive Maintenance ◽  
False Negative ◽  
Maintenance Cost ◽  
Arbitrary Distribution ◽  
Average Lifetime ◽  
True Negative ◽  
Degradation Failure ◽  
Lifetime Maintenance

Among the different maintenance techniques applied to wind turbine (WT) components, online condition monitoring is probably the most promising technique. The maintenance models based on online condition monitoring have been examined in many studies. However, no study has considered preventive maintenance models with incorporated probabilities of correct and incorrect decisions made during continuous condition monitoring. This article presents a mathematical model of preventive maintenance, with imperfect continuous condition monitoring of the WT components. For the first time, the article introduces generalized expressions for calculating the interval probabilities of false positive, true positive, false negative, and true negative when continuously monitoring the condition of a WT component. Mathematical equations that allow for calculating the expected cost of maintenance per unit of time and the average lifetime maintenance cost are derived for an arbitrary distribution of time to degradation failure. A numerical example of WT blades maintenance illustrates that preventive maintenance with online condition monitoring reduces the average lifetime maintenance cost by 11.8 times, as compared to corrective maintenance, and by at least 4.2 and 2.6 times, compared with predetermined preventive maintenance for low and high crack initiation rates, respectively.

scholarly journals Assessment and Validation of Oil Sensor Systems for On-line Oil Condition Monitoring of Wind Turbine Gearboxes

2014 ◽  
Vol 15 ◽  
pp. 747-754 ◽  
Author(s):  
D. Coronado ◽  
C. Kupferschmidt
Keyword(s):  
Wind Turbine ◽  
Condition Monitoring ◽  
Sensor Systems ◽  
Oil Condition Monitoring ◽  
On Line

scholarly journals Wind Turbine Gearbox Condition Monitoring with AAKR and Moving Window Statistic Methods

Energies ◽  
2011 ◽  
Vol 4 (11) ◽  
pp. 2077-2093 ◽  
Author(s):  
Peng Guo ◽  
Nan Bai
Keyword(s):  
Wind Turbine ◽  
Condition Monitoring ◽  
Moving Window ◽  
Wind Turbine Gearbox

Wind Turbine Failure Prediction Model using SCADA-based Condition Monitoring System

2021 ◽  
Author(s):  
Bara Alzawaideh ◽  
Payam Teimourzadeh Baboli ◽  
Davood Babazadeh ◽  
Susanne Horodyvskyy ◽  
Isabel Koprek ◽  
...  
Keyword(s):  
Prediction Model ◽  
Wind Turbine ◽  
Monitoring System ◽  
Condition Monitoring ◽  
Failure Prediction ◽  
Condition Monitoring System

Mother wavelet selection in the discrete wavelet transform for condition monitoring of wind turbine drivetrain bearings

Wind Energy ◽  
2019 ◽  
Vol 22 (11) ◽  
pp. 1581-1592 ◽  
Author(s):  
Daniel Strömbergsson ◽  
Pär Marklund ◽  
Kim Berglund ◽  
Juhamatti Saari ◽  
Allan Thomson
Keyword(s):  
Wavelet Transform ◽  
Wind Turbine ◽  
Discrete Wavelet Transform ◽  
Condition Monitoring ◽  
Discrete Wavelet ◽  
Mother Wavelet ◽  
Wavelet Selection

scholarly journals Statistical Evaluation of SCADA data for Wind Turbine Condition Monitoring and Farm Assessment

2018 ◽  
Vol 1037 ◽  
pp. 032038 ◽  
Author(s):  
E Gonzalez ◽  
J Tautz-Weinert ◽  
J J Melero ◽  
S J Watson
Keyword(s):  
Wind Turbine ◽  
Condition Monitoring ◽  
Statistical Evaluation
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