Classification of Friction and Wear State of Wind Turbine Gearboxes Using Decision Tree and Random Forest Algorithms

Pang, JS; Chen, YM; He, SZ; Qiu, HH; Wu, CL; Mao, LB

Chen, YM (corresponding author), Guangzhou HKUST Fok Ying Tung Res Inst, Bldg Energy Res Ctr, Guangzhou 511458, Guangdong, Peoples R China.

JOURNAL OF TRIBOLOGY-TRANSACTIONS OF THE ASME, 2021; 143 (9):

Abstract

Based on oil monitoring technology to collect friction and wear parameters, the failure modes of key friction pairs in wind turbine gearboxes can be e......

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