Condition monitoring of a wind turbine drive train based on its power dependant vibrations

2018 ◽  
Vol 123 ◽  
pp. 817-827 ◽  
Author(s):  
Antonio Romero ◽  
Slim Soua ◽  
Tat-Hean Gan ◽  
Bin Wang
2013 ◽  
Vol 718-720 ◽  
pp. 952-957
Author(s):  
Jun Cheng Liu ◽  
Zhi Gao Yang ◽  
Yue Gang Lv

In this paper, a condition monitoring system for wind turbine drive train is developed. The system integrated multiple type sensors such as vibration, voltage, current, speed, temperature and multimedia to monitor the condition of gearbox. This system is designed to monitor all wind turbine drive train in a wind farm using distributed processors to avoid computational and communication problems. The experiments on a wind farm in north china proved that the system is reliable and valid on abnormal condition detection for wind farm drive train.


Wind Energy ◽  
2018 ◽  
Vol 21 (12) ◽  
pp. 1406-1422 ◽  
Author(s):  
Hongkun Zhang ◽  
Rubén Ortiz de Luna ◽  
Martin Pilas ◽  
Jan Wenske

2019 ◽  
Vol 44 (5) ◽  
pp. 519-547
Author(s):  
Saeed Asadi ◽  
Håkan Johansson

Wind turbines normally have a long operational lifetime and experience a wide range of operating conditions. A representative set of these conditions is considered as part of a design process, as codified in standards. However, operational experience shows that failures occur more frequently than expected, the costlier of these including failures in the main bearings and gearbox. As modern turbines are equipped with sophisticated online systems, an important task is to evaluate the drive train dynamics from online measurement data. In particular, internal forces leading to fatigue can only be determined indirectly from other locations’ sensors. In this contribution, a direct wind turbine drive train is modelled using the floating frame of reference formulation for a flexible multibody dynamics system. The purpose is to evaluate drive train response based on blade root forces and bedplate motions. The dynamic response is evaluated in terms of main shaft deformation and main bearing forces under different wind conditions. The model was found to correspond well to a commercial wind turbine system simulation software (ViDyn).


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