基于CatBoost的航空齿轮本体温度预测方法与验证研究

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关键词：航空齿轮；胶合失效；本体温度；数据驱动；预测公式

中图分类号：TH132.41；V233

DOI：10.3969/j.issn.1004-132X.2025.08.002 开放科学（资源服务）标识码（OSID）：

Abstract： The present study conducted gear scufing tests and employed a wireless temperature measuring system to acquire bulk temperature data for aviation gears. Subsequently，a novel methodology， based upon the CatBoost algorithm，was developed with the intention of predicting the bulk temperature of aviation gears.Moreover，the contributions of parameters such as lubricant additives，thermal conductivity，torque，hardness，roughness，lubricant density，and lubricant viscosity to gear bulk temperature were identified.A predictive formula for aviation gear bulk temperature，considering materials and lubricant parameters，was proposed as a solution to the identified issues.Notably，the results demonstrate that the formulated formulaachievesa prediction errorwithin 10% for the bulk temperature of aviation gears.And the formula offers a promising method for designing aviation gears against scufing failures.

Key words：aviation gear;scufing failure；bulk temperature;data driven;prediction formula

0 引言

齿轮传动作为航空发动机传动系统的关键机械系统，其承载能力和功率密度等直接决定了航空发动机的服役性能[1-3]。（剩余17580字）