基于灰色預(yù)測理論的測量儀器校準(zhǔn)周期的確定

基于灰色預(yù)測理論的測量儀器校準(zhǔn)周期的確定
Determining Calibration Intervals of Measuring Instruments Based on Gray Prediction Theory

摘要:介紹了灰色預(yù)測理論在確定測量儀器校準(zhǔn)周期中的應(yīng)用。為了更精確地確定儀器在校準(zhǔn)過程中的校準(zhǔn)時間間隔，利用灰色模型對測量儀器的性能指標(biāo)進(jìn)行建模，得出儀器性能的變化趨勢，為達(dá)到更高的預(yù)測精度，利用殘差的一元非線性回歸模型對模型進(jìn)行了修正。最后以電壓源Agilent66103A 的輸出電壓為例，通過對其輸出誤差的建模來預(yù)測輸出誤差超出設(shè)定閉值的時刻，從而確定了儀器需進(jìn)行校準(zhǔn)的時間間隔。
關(guān)鍵詞:測量儀器校準(zhǔn)周期灰色預(yù)測理論非線性回歸性能指標(biāo)

Abstract: The application of gray prediction theory in determining measuring instruments' calibration intervals is presented. In order to preciselyd eterminet hec alibrationin tervalsof in strumentin c alibrationp rocedures,場usingg raym odel,th em odelof pe rformancein dexo fin strument is built to obtain varying trend of performance of instrument. For obtaining higher predicted accuracy, residual error's nonlinear regression model is adopted to amend the gray model. Finally, output voltage of DC power supply Agilent66103A is taken as an example, through establishing the model of output error to predict the time, on which the error exceeds the seting point of threshold, thus the calibration interval is determined.
Keywords:M easuringi nstrument Calibrationi ntervals Grayp redictiont heory Nonlinearr egression Performancei ndex