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

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, were 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 were provided in this dataset. Ultimately, this dataset provides high-quality data for the studies on fault diagnosis of 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. Additionally, it provides the valuable guidance for the operation and maintenance of key equipment in wind turbine manufacturers.