A calibration and estimation filter for multiply redundant measurement systems

Asok Ray, Mukund Desai

    Research output: Contribution to journalArticle

    19 Scopus citations

    Abstract

    An adaptive filter has been developed for calibration and estimation in multiply redundant measurement systems. The filter is structured in the framework of a fault detection and isolation (FDI) methodology where the decisions are made on the basis of consistencies among all redundant measurements. The consistent measurements are calibrated on-line to compensate for their errors. An estimate of the measured variable is obtained as a weighted average of the calibrated measurements where the individual weights are adoptively updated on-line on the basis of the respective a posteriori probabilities of failure instead of being a priori fixed. The calibration and estimation algorithm is suitable for real-time applications using commercially available microcomputer systems, and has been verified by on-line demonstrations in an operating nuclear reactor.

    Original languageEnglish (US)
    Pages (from-to)149-156
    Number of pages8
    JournalJournal of Dynamic Systems, Measurement and Control, Transactions of the ASME
    Volume106
    Issue number2
    DOIs
    StatePublished - Jan 1 1984

    All Science Journal Classification (ASJC) codes

    • Control and Systems Engineering
    • Information Systems
    • Instrumentation
    • Mechanical Engineering
    • Computer Science Applications

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