基于殘差補償灰色馬爾科夫模型的校準間隔預(yù)測方法
發(fā)布時間:2018-08-13 17:03
【摘要】:為了實現(xiàn)對測量儀器科學(xué)、合理的校準間隔的預(yù)測,根據(jù)歷史數(shù)據(jù)的特點,將灰色預(yù)測模型與馬爾科夫預(yù)測方法相結(jié)合,用灰色GM(1,1)模型預(yù)測校準數(shù)據(jù)的總體變化趨勢,用馬爾科夫模型預(yù)測殘差序列的狀態(tài)變化,進而得到校準數(shù)據(jù)的預(yù)測值。用實驗數(shù)據(jù)對模型進行了驗證。結(jié)果表明,模型很好地體現(xiàn)了測量儀器關(guān)鍵參數(shù)的發(fā)展過程,適于校準間隔的預(yù)測。
[Abstract]:In order to predict the scientific and reasonable calibration interval of measuring instruments, according to the characteristics of historical data, the grey prediction model and Markov prediction method are combined to predict the overall change trend of calibration data with the grey GM (1 ~ 1) model. The Markov model is used to predict the state change of the residuals and the predicted values of the calibration data are obtained. The model is validated with experimental data. The results show that the model well reflects the development process of the key parameters of the measuring instrument and is suitable for the prediction of calibration intervals.
【作者單位】: 北京航空航天大學(xué)儀器科學(xué)與光電工程學(xué)院;
【基金】:國家自然科學(xué)基金資助項目(61573046)
【分類號】:TB9;TM930
,
本文編號:2181619
[Abstract]:In order to predict the scientific and reasonable calibration interval of measuring instruments, according to the characteristics of historical data, the grey prediction model and Markov prediction method are combined to predict the overall change trend of calibration data with the grey GM (1 ~ 1) model. The Markov model is used to predict the state change of the residuals and the predicted values of the calibration data are obtained. The model is validated with experimental data. The results show that the model well reflects the development process of the key parameters of the measuring instrument and is suitable for the prediction of calibration intervals.
【作者單位】: 北京航空航天大學(xué)儀器科學(xué)與光電工程學(xué)院;
【基金】:國家自然科學(xué)基金資助項目(61573046)
【分類號】:TB9;TM930
,
本文編號:2181619
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