动态数据的ARMA模型预测加工质量  

The Prediction of Working Quality with the Auto-Regressive Moving Average Model of the Dynamic Data

作　　者：张炳生 赵妙霞[1] 张宇[1] 姚华明 

机构地区：[1]甘肃工业大学机械工程研究所

出　　处：《甘肃工业大学学报》1989年第1期30-36,共7页Journal of Gansu University of Technology

摘　　要：本文首先阐述了在长度计量中建立自回归滑动平均模型(Auto Regressive Moving Average Model)的理论,推导出预测的计算模型及误差估计,然后以一个生产实例,证明这个模型具有相当的置信度。In this peper, first the authors expounded the theory of setting an a regressive moving average model in the length measurement and derived a mathematical model for length prediction and its error estimation. And then, using an example of the production practice, this model has been proved having fair confidence.

关 键 词：动态数据 ARMA模型 长度计量 

分 类 号：TG806[金属学及工艺—公差测量技术]