Prediction of Gun Barrel Multi-point Erosion and Wear Based on Principal Component Analysis and Gray Model Combination
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.
gun barrelerosion and wearprincipal component analysisgray model
国家科技期刊平台
NSTL
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