分布式能源2026，Vol.11Issue(1)：27-33,7.DOI:10.16513/j.2096-2185.DE.25100018
基于TPE-CatBoost的风电机组齿轮箱油池温度预警方法
Temperature Warning Method for Gearbox Oil of Wind Turbine Based on TPE-CatBoost
摘要
Abstract
In response to the challenge of early warning for abnormal oil sump temperatures in wind turbine gearboxes,a fault warning method based on supervisory control and data acquisition(SCADA)data is proposed to enhance the operational reliability of the turbines.Firstly,by integrating wind speed-power distribution characteristics,an outlier detection approach utilizing the interquartile range and longitudinal filtering based on data dispersion is employed to eliminate anomalous power points.Subsequently,key input features influencing oil sump temperature are identified using a random forest algorithm,leading to the development of a temperature prediction model based on categorical boosting(CatBoost).The hyperparameters of this model are optimized using tree-structured parzen estimator(TPE).Finally,dynamic warning thresholds are established through statistical process control based on residual distributions.In a practical case study from a specific wind farm,this model issued effective warnings approximately 5 hours prior to gearbox failure;notably,the time points at which residuals exceeded control limits closely aligned with the progression of faults.The proposed method demonstrates significant efficacy in identifying abnormal conditions related to oil sump temperatures and possesses strong early warning capabilities along with substantial engineering application value.关键词
风电机组/故障预警/齿轮箱/数据清洗Key words
wind turbine/fault warning/gearbox/data cleaning分类
能源科技引用本文复制引用
郭浩宇,周元贵,王露春,万罗强..基于TPE-CatBoost的风电机组齿轮箱油池温度预警方法[J].分布式能源,2026,11(1):27-33,7.基金项目
This work is supported by Science and Technology Project of China Datang Group Corporation(DTSN-2024-10233) 中国大唐集团有限公司科技项目(DTSN-2024-10233) （DTSN-2024-10233）
