SENSOR DIAGNOSTICS BASED ON DYNAMIC CHARACTERISTIC CURVE ESTIMATION |
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| Kimmo Latva-Käyrä, Risto Ritala |
- Abstract:
- This paper presents a method for optimal detection of need for re-estimation of the parameters of characteristic curves based on infrequent and irregular reference measurements. We assume that the validity of parameters deteriorates through a stochastic process. In particular, we give analytic distributions of parameters when deterioration is through random-walk diffusion. The detection of need for re-estimation of parameters is similar to two-variable Statistical Process Control scheme. Method is demonstrated and its detection capabilities analyzed in cases where the actual deterioration is either a step change, a linear drift or a random walk.
- Keywords:
- calibration, probability, diagnostics, Bayes, Statistical Process Control
- Download:
- IMEKO-TC10-2005-03.pdf
- DOI:
- -
- Event details
- IMEKO TC:
- TC10
- Event name:
- TC10 Conference 2005
- Title:
10th IMEKO TC10 Conference on Technical Diagnostics
- Place:
- Budapest, HUNGARY
- Time:
- 09 June 2005 - 10 June 2005