Huihui Han, Xin Wang, Boman Mao, Hao Jiang, Muxin Chen, Jinhe Wang, and Yuchun Li
Main gearbox wear, real-time monitoring system, data optimisation strategy, wind turbines
The high failure risk of gearbox main gear wear limits the development of wind energy industry. However, it is not popular to systematically monitor the performance of wind turbine main gear wear because of higher cost and not easy implemented. This study proposes a real-time gear wear monitoring system, which consists of data processing, data visualisation and modelling evaluation. Because gear oil data is discrete and sparse, data optimisation strategy must be used to detect missing values, outliers and duplicate values. Timing-based curve comparison and correlation scatter plot are the main visualisation methods, and they provide effective and timely intrinsic content for the following modelling evaluation. Validation tests have shown that the software can effectively improve the evaluation system of wind turbine main gear wear, which provides a new methodology for evaluating gear wear in the wind energy sector.
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