Study on Effect of Source Voltage on the Accuracy of Quantitative Spectral Analysis Based on “M+N” Theory
LI Gang1,2, LI Zhe1,2, LI Xiao-xia3, LIN Ling1,2, ZHANG Bao-ju4, WANG Wei4*
1. State Key Laboratory of Precision Measurement Technology and Instruments, Tianjin University, Tianjin 300072, China 2. Tianjin Key Laboratory of Biomedical Detecting Techniques & Instruments, Tianjin University, Tianjin 300072, China 3. Province-Ministry Joint Key Laboratory of Electromagnetic Field and Electrical Apparatus Reliability, School of Electrical Engineering, Hebei University of Technology, Tianjin 300130, China 4. College of Physics & Electronic Information, Tianjin Normal University, Tianjin 300387, China
Abstract：Based on the error theory, “M+N” theory illustrates the effect of “N” factor such as external disturbance in the spectral analysis and provides a method to improve measurement accuracy. Multi-component ideal simulation model was established using the method that combines source spectra measured under different voltage with multi-component linear absorption spectral model. Meanwhile, source voltage was chosen as the “N” factor influencing the accuracy of measured component concentration. “N” factor distribution mode of samples was set to two groups with three different modes under different signal-to-noise ratio. It is concluded that prediction accuracy of component concentration is certainly influenced by “N” factor distribution range of calibration set and prediction set, which is system error. It was verified by the experimental results that “N” factor can be used to improve measurement accuracy based on “M+N” theory. Moreover, this research supplies a theoretic guidance for reducing interference and improving measurement accuracy of complex measurement system.
李 刚1,2，李 哲1,2，李晓霞3，林 凌1,2，张宝菊4，王 为4* . 基于“M+N”理论的光谱分析中光源电压对预测精度影响的研究 [J]. 光谱学与光谱分析, 2013, 33(06): 1456-1461.
LI Gang1,2, LI Zhe1,2, LI Xiao-xia3, LIN Ling1,2, ZHANG Bao-ju4, WANG Wei4* . Study on Effect of Source Voltage on the Accuracy of Quantitative Spectral Analysis Based on “M+N” Theory . SPECTROSCOPY AND SPECTRAL ANALYSIS, 2013, 33(06): 1456-1461.
