重庆大学学报2025，Vol.48Issue(5)：91-104,14.DOI:10.11835/j.issn.1000-582X.2025.201
基于机器学习的轴向柱塞泵效率计算方法
A calculation method for axial piston pump efficiency based on machine learning
摘要
Abstract
To address the significant discrepancies between theoretical formulas and experimental results for axial piston pump efficiency under different working conditions,a machine learning-based efficiency calculation method is proposed.First,a nonlinear regression model for axial piston pump efficiency is established,and its validity is verified by significance testing.Subsequently,a predictive model based on a BP neural network is designed,trained and verified using experimental data.Finally,the prediction accuracies of both models are evaluated.The results show that,compared with the existing theoretical formulas under conditions of variable pressure,speed,and flow rate,both the nonlinear regression model and the BP neural network model significantly improve the prediction accuracy.Specifically,the average relative errors is reduced from 8.89%to 1.4%and 0.62%,respectively.关键词
泵效率/轴向柱塞泵/回归分析/BP神经网络Key words
pump efficiency/axial piston pump/regression analysis/BP neural network分类
机械工程引用本文复制引用
刘宇超,张宇效,邹俊辉,郭燕,贺旖琳,习毅..基于机器学习的轴向柱塞泵效率计算方法[J].重庆大学学报,2025,48(5):91-104,14.基金项目
湖南省教育厅资助项目(23B0496) （23B0496）
国家博士后基金资助项目(2023M731822) （2023M731822）
湖南省研究生科研创新项目(CX20240869).Supported by Project of Hunan Provincial Education Department(23B0496),National Postdoctoral Fund(2023M731822),and Hunan Provincial Graduate Student Research Innovation Program(CX20240869). （CX20240869）
