火力与指挥控制2024，Vol.49Issue(4)：142-149,8.DOI:10.3969/j.issn.1002-0640.2024.04.022
主成分分析和灰色模型组合的身管多点烧蚀磨损量预测
Prediction of Gun Barrel Multi-point Erosion and Wear Based on Principal Component Analysis and Gray Model Combination
康总宽 1闫彬 2周子璇 3宋洪震 2陈学军2
作者信息
- 1. 西北机电工程研究所,陕西 咸阳 712099||华中科技大学机械科学与工程学院,武汉 430074
- 2. 西北机电工程研究所,陕西 咸阳 712099
- 3. 华中科技大学机械科学与工程学院,武汉 430074
- 折叠
摘要
Abstract
Barrel is a key part of artillery weapons.To predict its erosion and wear is helpful to maintain the operational effectiveness of artillery.Aiming at the problem that it is necessary to establish a mathematical model to predict the erosion and wear of gun barrel at each point along the axis,acom-bined erosion and wear prediction method was propsoed.Principal component analysis(PCA)was used to reduce the dimensionality of the data of the multi-point erosion and wear of artillery barrel,and principal components reflecting erosion and wearchanges were extracted.The gray model was used to predict the multi-step of the principal components,and the predicted value of multi-point erosion and wear of the barrel was obtained by PCA inverse calculation.The results show that,under the condition of less historical data,more accurate prediction value can be obtained by selecting the appropriate numbers of prediction step,which provides a new effective way for the prediction of multi-point ero-sion and wear of the bore.关键词
身管/烧蚀磨损/主成分分析/灰色模型Key words
gun barrel/erosion and wear/principal component analysis/gray model分类
军事科技引用本文复制引用
康总宽,闫彬,周子璇,宋洪震,陈学军..主成分分析和灰色模型组合的身管多点烧蚀磨损量预测[J].火力与指挥控制,2024,49(4):142-149,8.
