摘要
为了更好地研究自动步枪的故障问题,通过对某自动步枪的故障数据统计分析,运用灰色系统理论建立了关于枪械故障的灰色预测模型。通过对试验数据计算分析表明:利用GM(1,1)模型能够很好地预测某自动步枪的故障发展规律。通过计算得到在数据原点附近的数据实际值与预测值十分接近,其最小相对误差为1. 1314%,最大相对误差为9. 0795%,相对误差均小于10%。
In order to better study the fault problem of automatic rifle,the grey prediction model of gun fault is established by using the gray system through the statistical analysis of the fault data of an automatic rifle. Through the calculation and analysis of experimental data,it is showed that the fault development lawof an automatic rifle can be predicted well by using the GM( 1,1) model. The measured value of the data near the origin is very close to the predicted value through calculation. The minimum relative error is 1. 1314% and the maximum relative error is 9. 0795%,both of which are less than 10%.
出处
《沈阳理工大学学报》
CAS
2018年第5期76-79,85,共5页
Journal of Shenyang Ligong University
基金
重庆市博士后科研项目特别资助(XM2017115)
