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| Prediction of Calibration Interval for Measuring Instrument Using Fuzzy Norm Fusion Model |
| SUN Qun1,ZHAO Ying1,WANG Guo-hua2 |
1.School of Automobile and Transportation Engineering, Liaocheng University, Liaocheng,Shandong 252059, China
2. School of Instrumentation Science & Opto-electronics Engineering, BUAA, Beijing 100191, China |
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Abstract Prediction of the measuring instrument calibration interval is a main method to solve insufficient calibration and surplus calibration. Those used prediction models at present only focus on prediction of the instantaneous value. However, the instantaneous value is tough to be predicted precisely due to random factors. For these problems, a fuzzy norm fusion model is proposed to predict calibration intervals under small sample of calibration data. The mathematic model of calibration data is founded, by analyzing historical calibration data and corresponding effect factors. Base on this work, the fuzzy norm fusion model is adopted to predict calibration intervals. The fuzzy norm fusion model conquers the deficiency, which other prediction models only predict the instantaneous value. Experiments show that the fuzzy norm fusion model could reflect the change trend of the system better and have higher prediction reliability.
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2012, Vol. 33 
