噪声与振动控制2025，Vol.45Issue(6)：1-5,25,6.DOI:10.3969/j.issn.1006-1355.2025.06.001
多可信度数据融合的轴系临界转速预测
Critical Speed Prediction of Shaft Systems Based on Multi-credibility Data Fusion
摘要
Abstract
In the optimization design of rotor system structure,it is crucial to control the critical speed of the shaft system.To address the issues of limited experimental data and low simulation accuracy in construction of critical speed prediction models,a multi-credibility data fusion modeling method based on input dimension enhancement is proposed.This method incorporates simulation results as new design variables into the prediction model construction,and suppresses the interference of noise errors in the initial experimental samples by reducing the influence weight of the initial design variables.Compared to the collaborative Kriging method,this method is suitable for situations in which the high reliability samples are not very few but include initial errors,and the accuracy of low reliability samples is not high.By comparing the prediction accuracy of different models,the effectiveness of this method in improving model prediction stability and global accuracy is demonstrated.This study provides a new model optimization approach for solving design optimization problems in engineering practice.关键词
振动与波/临界转速/多可信度分析/输入增维法/代理模型Key words
vibration and wave/critical speed/multi-credibility analysis/input dimension enhancement method/surrogate model分类
机械制造引用本文复制引用
顾永华,丁子杨,李富才,苏文胜,薛志钢..多可信度数据融合的轴系临界转速预测[J].噪声与振动控制,2025,45(6):1-5,25,6.基金项目
国家自然科学基金资助项目(52175104) （52175104）
国家市场监督管理总局科技计划资助项目(2021MK044) （2021MK044）
江苏省市场监督管理局科技计划资助项目(KJ2022004) （KJ2022004）
