太阳能Issue(11)：55-65,11.DOI:10.19911/j.1003-0417.tyn20231208.01
基于DSP-LightGBM算法的风电机组齿轮箱高速轴齿轮健康状态监测研究
RESEARCH ON HEALTH STATUS MONITORING OF HIGH-SPEED SHAFT GEARS IN WIND TURBINE GEARBOXES BASED ON DSP-LightGBM ALGORITHM
吴智泉 1于海瀛 2王松 1吴文韬 3左康会4
作者信息
- 1. 国家电投集团云南国际电力投资有限公司,昆明 650228
- 2. 哈尔滨能创数字科技有限公司,哈尔滨 150000
- 3. 云南电投绿能科技有限公司,昆明 650228
- 4. 国家电投集团云南国际电力投资有限公司新能源开发分公司,昆明 650228
- 折叠
摘要
Abstract
As one of the most important components of the gearbox,health status of the high-speed shaft gear not only has a significant impact on the safe operation and maintenance of the wind turbine,but also has a direct impact on the power generation capacity of the wind turbine.This paper is based on a large number of high-frequency vibration signals of wind turbine gearboxes collected by the state monitoring system(CMS)of wind turbines in a wind farm in Gansu Province.A model that can monitor the health status of high-speed shaft gears in wind turbine gearboxes is constructed using digital signal processing(DSP)methods and LightGBM algorithm.The signal is simple amplified using the fast Fourier transform(FFT)method in DSP methods.Simultaneously constructing features from both time and frequency domains,filtering and removing redundant features,a classification model for the health status monitoring of high-speed shaft gears in wind turbine gearboxes based on DSP-LightGBM algorithm is constructed.The actual high-frequency vibration signals of high-speed shaft gears in wind turbine gearboxes collected by CMS are used to verify the effectiveness of the model.The verification results show that the constructed model has good prediction performance and can efficiently detect the high-speed shaft gear state of the wind turbine gearbox.关键词
风电机组/齿轮箱/数字信号处理/LightGBM/快速傅里叶变换/状态监测Key words
wind turbines/gearbox/DSP/LightGBM/FFT/status monitoring分类
信息技术与安全科学引用本文复制引用
吴智泉,于海瀛,王松,吴文韬,左康会..基于DSP-LightGBM算法的风电机组齿轮箱高速轴齿轮健康状态监测研究[J].太阳能,2024,(11):55-65,11.
