PDS用于不同温度下的近红外光谱模型传递研究

采用合适的计算方法可降低测定环境对近红外光谱校正模型稳健性的影响。该文以喷气燃料为研究对象,考察了分段直接校正算法对所建模型预测结果的影响,通过选择转移样品数及窗口宽度,建立了最佳的校正模型和光谱转移参数。结果表明,在20℃下建立近红外光谱校正模型,直接预测30℃下喷气燃料的密度,预测集样品均方根误差（RMSEP）为0.2031,而30℃近红外光谱采用分段直接校正算法模型转移后,预测集样品均方根误差（RMSEP）降低为0.1354,预测结果得到明显改善,有效地解决了样品温度对近红外光谱分析结果的影响。

Study on Near Infrared Spectroscopy Model Transfer by Using Piecewise Direct Standardization at Different Temperature

The robustness of calibration model in near infrared spectroscopy(NIR) was obviously affected by measuring conditions,which could be reduced by using the suitable calculation method.In this paper,the influence of piecewise direct standardization(PDS) on predicting results was studied,and the optimal calibration model and spectral transferring parameters were established.The results showed that the root mean square of prediction error(RMSEP) of the prediction set was 0.203 1 when employing directly the calib...