Vibration and acoustic data of pitch bearing in wind turbines under time-varying load for fault diagnosis(Cond_3)

Published: 17 February 2025| Version 1 | DOI: 10.17632/md6hnhpv3b.1
Contributors:
Yinan Guo, Jiale He, Jiayang Pu, Minghao Wang, Botao Jiao, Dekun Zhang, Lili Meng, Enchao Jiang

Description

Pitch bearing, as the core component of wind turbines, brings the blades to the desired position by adjusting the aerodynamic angle. Due to the harsh working environment of wind turbines, the faults of pitch bearing may lead to the overall failure of wind turbine. However, obtaining the sufficient data of faults for pitch bearings under the actual operating environment is difficult and time-consuming. Thus, a precision-machining mechanical platform of proportionally-scaled pitch bearings was designed and built to simulate its actual operating characteristics. Based on it, the vibration and acoustic data of proportionally-scaled pitch bearings with 11 types of faults under three kinds of loads and two rotational speeds are collected and stored in the sequent data files. The faults, such as crack, wear and spalling, are artificially created on inner or/and outer ring raceways, as well as rolling body of proportionally-scaled pitch bearings in advance. More especially, single and compound fault data are provided in this dataset. Ultimately, this dataset provides high-quality data for the studies on fault diagnosis for pitch bearing in wind turbines and rolling bearings with low-speed and heavy loads. It is also employed to validate the effectiveness of newly developed fault diagnosis methods.

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Institutions

China University of Mining and Technology - Beijing Campus

Categories

Engineering, Bearing Failure, Fault Diagnosis

Funding

National Natural Science Foundation of China

U23A20340, 61973305

Licence