A calibration and estimation filter for multiply redundant measurement systems

Asok Ray, Mukund Desai

    Research output: Contribution to journalArticle

    19 Citations (Scopus)

    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

    Fingerprint

    Calibration
    filters
    fault detection
    adaptive filters
    microcomputers
    nuclear reactors
    Adaptive filters
    Nuclear reactors
    Fault detection
    Microcomputers
    isolation
    Demonstrations
    methodology
    estimates

    All Science Journal Classification (ASJC) codes

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

    Cite this

    @article{ba379d152b2444198c06b63bd17133e0,
    title = "A calibration and estimation filter for multiply redundant measurement systems",
    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.",
    author = "Asok Ray and Mukund Desai",
    year = "1984",
    month = "1",
    day = "1",
    doi = "10.1115/1.3143729",
    language = "English (US)",
    volume = "106",
    pages = "149--156",
    journal = "Journal of Dynamic Systems, Measurement and Control, Transactions of the ASME",
    issn = "0022-0434",
    publisher = "American Society of Mechanical Engineers(ASME)",
    number = "2",

    }

    A calibration and estimation filter for multiply redundant measurement systems. / Ray, Asok; Desai, Mukund.

    In: Journal of Dynamic Systems, Measurement and Control, Transactions of the ASME, Vol. 106, No. 2, 01.01.1984, p. 149-156.

    Research output: Contribution to journalArticle

    TY - JOUR

    T1 - A calibration and estimation filter for multiply redundant measurement systems

    AU - Ray, Asok

    AU - Desai, Mukund

    PY - 1984/1/1

    Y1 - 1984/1/1

    N2 - 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.

    AB - 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.

    UR - http://www.scopus.com/inward/record.url?scp=0021444328&partnerID=8YFLogxK

    UR - http://www.scopus.com/inward/citedby.url?scp=0021444328&partnerID=8YFLogxK

    U2 - 10.1115/1.3143729

    DO - 10.1115/1.3143729

    M3 - Article

    AN - SCOPUS:0021444328

    VL - 106

    SP - 149

    EP - 156

    JO - Journal of Dynamic Systems, Measurement and Control, Transactions of the ASME

    JF - Journal of Dynamic Systems, Measurement and Control, Transactions of the ASME

    SN - 0022-0434

    IS - 2

    ER -