电测与仪表2017，Vol.54Issue(21)：7-11,5.
基于残差补偿灰色马尔科夫模型的校准间隔预测方法
Prediction method of calibration interval based on residual compensation grey-markov model
摘要
Abstract
In order to predict the calibration interval of a measuring instrument scientifically,the characters of histori-cal calibration data are analyzed,and a combination of GM(1,1)model and Markov method is adopted to acquire the predictive value of calibration data.GM(1,1)model is used to forecast the general trend of the calibration data,and Markov model is used to predict the state of residual series.Experimental data is utilized to validate the model.The results demonstrate that the model can well forecast the evolvement of key parameters of a measuring instrument, which is suitable for calibration interval prediction.关键词
校准间隔/残差补偿/灰色GM(1,1)模型/马尔科夫模型Key words
calibration interval/residual compensation/GM(1/1)model/Markov model分类
信息技术与安全科学引用本文复制引用
纪伊琳,钱政..基于残差补偿灰色马尔科夫模型的校准间隔预测方法[J].电测与仪表,2017,54(21):7-11,5.基金项目
国家自然科学基金资助项目(61573046) （61573046）
