Paper Title:
Validated Uncertainty Evaluation for Self-Validating Sensor
  Abstract

This paper evaluates the validated uncertainty in SEVA sensor by integrating fault detection, identification and reconstruction (FDIR) and reliability engineering. The impact of each fault mode on measurement quality is evaluated quantitatively by using a priori sensor reliability information to investigate the impact of incomplete fault coverage, FDIR and manual maintenance intervention. Bayesian probabilistic approach and uncertainty calculus are employed to model the impact of sensor validation on parameter uncertainty and to fuse the individual modes into a complete sensor model. A simulation of SEVA pressure sensor example illustrates the concept and conclusions.

  Info
Periodical
Key Engineering Materials (Volumes 381-382)
Edited by
Wei Gao, Yasuhiro Takaya, Yongsheng Gao and Michael Krystek
Pages
419-422
DOI
10.4028/www.scientific.net/KEM.381-382.419
Citation
Z. G. Feng, Q. Wang, K. Shida, "Validated Uncertainty Evaluation for Self-Validating Sensor", Key Engineering Materials, Vols. 381-382, pp. 419-422, 2008
Online since
June 2008
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Price
$32.00
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