scholarly journals Condition monitoring of spar-type floating wind turbine drivetrain using statistical fault diagnosis

Wind Energy ◽  
2018 ◽  
Vol 21 (7) ◽  
pp. 575-589 ◽  
Author(s):  
Mahdi Ghane ◽  
Amir Rasekhi Nejad ◽  
Mogens Blanke ◽  
Zhen Gao ◽  
Torgeir Moan
Keyword(s):  
Fault Diagnosis ◽  
Wind Turbine ◽  
Condition Monitoring ◽  
Floating Wind Turbine

scholarly journals Vestas V90-3MW Wind Turbine Gearbox Health Assessment Using a Vibration-Based Condition Monitoring System

2016 ◽  
Vol 2016 ◽  
pp. 1-18 ◽  
Author(s):  
A. Romero ◽  
Y. Lage ◽  
S. Soua ◽  
B. Wang ◽  
T.-H. Gan
Keyword(s):  
Fault Diagnosis ◽  
Wind Turbine ◽  
Condition Monitoring ◽  
Learning Algorithm ◽  
Health Assessment ◽  
Field Trials ◽  
Health Condition ◽  
Normal Operation ◽  
Wind Turbine Gearbox ◽  
Operation Conditions

Reliable monitoring for the early fault diagnosis of gearbox faults is of great concern for the wind industry. This paper presents a novel approach for health condition monitoring (CM) and fault diagnosis in wind turbine gearboxes using vibration analysis. This methodology is based on a machine learning algorithm that generates a baseline for the identification of deviations from the normal operation conditions of the turbine and the intrinsic characteristic-scale decomposition (ICD) method for fault type recognition. Outliers picked up during the baseline stage are decomposed by the ICD method to obtain the product components which reveal the fault information. The new methodology proposed for gear and bearing defect identification was validated by laboratory and field trials, comparing well with the methods reviewed in the literature.

Development of a Test Bench for Wind Turbine Condition Monitoring and Fault Diagnosis

2019 ◽  
Vol 17 (06) ◽  
pp. 907-913 ◽  
Author(s):  
Eduardo Quiles ◽  
Emilio Garciia ◽  
Javier Cervera ◽  
Javier Vives
Keyword(s):  
Fault Diagnosis ◽  
Wind Turbine ◽  
Condition Monitoring ◽  
Test Bench

Wind turbine condition monitoring and fault diagnosis in China

2016 ◽  
Vol 19 (2) ◽  
pp. 22-28 ◽  
Author(s):  
Xuefeng Chen ◽  
Ruqiang Yan ◽  
Yanmeng Liu
Keyword(s):  
Fault Diagnosis ◽  
Wind Turbine ◽  
Condition Monitoring
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