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Monitoring the calibration status of a measuring instrument by a stochastic model

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4 Author(s)
Bobbio, A. ; Dipt. di Inf., Torino Univ., Italy ; Tavella, P. ; Montefusco, A. ; Costamagna, S.

The paper discusses a class of stochastic models for evaluating the optimal calibration interval in measuring instruments. The model is based on the assumption that the calibration status of a measuring instrument can be monitored by means of one observable parameter. The observable parameter is undergoing a stochastic drift process. The paper introduces and compares stochastic drift models of different nature, and estimates the first passage time of the monitored parameter on a preset limit. The calibration interval is determined as a suitable percentile of the distribution function of the first passage time. A preliminary validation of the model, based on a sample of experimental data collected on a class of instruments, is finally reported

Published in:

Instrumentation and Measurement, IEEE Transactions on  (Volume:46 ,  Issue: 4 )

Date of Publication:

Aug 1997

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