基于残差补偿灰色马尔科夫模型的校准间隔预测方法
发布时间：2018-08-13 17:03
【摘要】：为了实现对测量仪器科学、合理的校准间隔的预测,根据历史数据的特点,将灰色预测模型与马尔科夫预测方法相结合,用灰色GM(1,1)模型预测校准数据的总体变化趋势,用马尔科夫模型预测残差序列的状态变化,进而得到校准数据的预测值。用实验数据对模型进行了验证。结果表明,模型很好地体现了测量仪器关键参数的发展过程,适于校准间隔的预测。
[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.
【作者单位】： 北京航空航天大学仪器科学与光电工程学院;
【基金】：国家自然科学基金资助项目(61573046)
【分类号】：TB9;TM930
，
本文编号：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.
【作者单位】： 北京航空航天大学仪器科学与光电工程学院;
【基金】：国家自然科学基金资助项目(61573046)
【分类号】：TB9;TM930
，
本文编号：2181619
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