Calibration and estimation of redundant signals

Research output: Contribution to journalArticle

5 Scopus citations

Abstract

This paper presents formulation and validation of an adaptive filter for real-time calibration of redundant signals consisting of sensor data and/or analytically derived measurements. The measurement noise covariance matrix is adjusted as a function of the a posteriori probabilities of failure of the individual signals. An estimate of the measured variable is obtained as a weighted average of the calibrated signals. The weighting matrix is recursively updated in real time instead of being fixed a priori. The calibration and estimation filter has been tested by injecting faults into the data set collected from an operating power plant. The filter software is presently hosted in a Pentium platform and is portable to other commercial platforms. The filter can be used to enhance the Instrumentation & Control System Software in tactical and transport aircraft, and nuclear and fossil power plants.

Original languageEnglish (US)
Pages (from-to)1525-1534
Number of pages10
JournalAutomatica
Volume36
Issue number10
DOIs
StatePublished - Oct 2000

    Fingerprint

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

Cite this