工程设计学报2026，Vol.33Issue(2)：169-181,13.DOI:10.3785/j.issn.1006-754X.2026.05.257
直升机主减速器传动系统振动预测孪生建模技术研究
Research on twin modeling for vibration prediction of transmission system of helicopter's main gearbox
摘要
Abstract
Spiral bevel gears in the helicopter's main gearbox exhibit pronounced spatial meshing characteristics.Under the combined effects of complex loads as well as manufacturing and assembly errors,the key excitations such as mesh stiffness and transmission error are difficult to obtain online,which limits the high-accuracy prediction of vibration responses.To address this issue,a digital twin method for vibration prediction was proposed by integrating tooth surface contact analysis with mechanism-guided data-driven modeling.The proposed method adopted collaborative modeling along physical and data paths.On the physical path,a tooth surface with geometric errors was constructed based on the three-coordinate measurement data,and the tooth surface contact analysis was carried out to extract time-varying mesh stiffness and composite transmission error.A condition-related vibration intensity index was then obtained through torsional dynamics analysis and used as an interpretable mechanism-informed feature.On the data path,a Bayesian-optimized XGBoost(eXtreme Gradient Boosting)mapping model BO-XGBoost was constructed to fuse the measured operating parameters with the mechanism features for nonlinear prediction of three-dimensional vibration of the output-shaft.The verification results based on the test-rig data of the transmission system of the main gearbox demonstrated that the model had a higher prediction accuracy for the three-dimensional vibration of the output-shaft,with the determination coefficient R2 being higher than 0.97.Compared with baseline models such as BO-XGBoost,SVR(support vector regression),LSTM(long short-term memory),and GRU(gated recurrent unit),its prediction accuracy was the highest.The research results provide a physically interpretable modeling approach for vibration monitoring and performance evaluation of the transmission system of the helicopter's main gearbox.关键词
数字孪生/齿面接触分析/贝叶斯优化/XGBoost/振动预测Key words
digital twin/tooth surface contact analysis/Bayesian optimization/eXtreme Gradient Boosting/vibration prediction分类
机械制造引用本文复制引用
陈龙,刘捷舟,肖钊,陈立锋,丁撼,唐进元,田一..直升机主减速器传动系统振动预测孪生建模技术研究[J].工程设计学报,2026,33(2):169-181,13.基金项目
湖南省自然科学基金资助项目(2024JJ8275,2024JJ8284) （2024JJ8275,2024JJ8284）
湖南省杰出青年基金项目(2024JJ2031) （2024JJ2031）
