南京航空航天大学学报2024，Vol.56Issue(4)：668-676,9.DOI:10.16356/j.1005-2615.2024.04.009
航空发动机滑油消耗率计算与预测方法
A Calculation and Prediction Method of Lubricating Oil Consumption Rates for Aeroengines
摘要
Abstract
Since the measurement of oil quantity in aviation engine lubrication systems is susceptible to multiple parameters,it is difficult to calculate and predict oil consumption rates.We propose an improved method for extracting oil quantity data and predicting oil consumption rates.Engine data are cleansed using density-based clustering algorithms,including density-based spatial clustering of applications with noise(DBSCAN),to obtain stable oil quantity data during steady flight conditions.By the least squares method,oil consumption rates are derived with an average fitting goodness of 0.86.Subsequently,a multi-layer perception(MLP)is employed to establish the relationship between oil consumption rates and flight status parameters,resulting in a predicted average absolute percentage error of 1.15%,compared to actual values.The proposed method meets practical engineering requirements,providing a reliable reference for assessing the health status of aviation engine lubrication systems.关键词
航空发动机/滑油消耗率/基于密度聚类算法/多层感知器Key words
aeroengine/oil consumption rate/density-based spatial clustering of applications with noise(DBSCAN)/multi-layer perception(MLP)分类
航空航天引用本文复制引用
张振生,蔡景,张瑞,张航源..航空发动机滑油消耗率计算与预测方法[J].南京航空航天大学学报,2024,56(4):668-676,9.基金项目
民航安全能力建设项目(2021-198). （2021-198）
