Monitoring the calibration status of a measuring instrument by a stochastic model
Autor: | Andrea Bobbio, P. Tavella, Andrea Montefusco, S. Costamagna |
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Rok vydání: | 1997 |
Předmět: |
Percentile
Mathematical optimization Stochastic process Calibration (statistics) Stochastic modelling Astrophysics::Instrumentation and Methods for Astrophysics Interval (mathematics) Control theory Measuring instrument Stochastic drift Electrical and Electronic Engineering First-hitting-time model Instrumentation Mathematics |
Zdroj: | IEEE Transactions on Instrumentation and Measurement. 46:747-751 |
ISSN: | 0018-9456 |
DOI: | 10.1109/19.650766 |
Popis: | 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. |
Databáze: | OpenAIRE |
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