Stochastic Change Detection based on an Active Fault Diagnosis Approach

Niels Kjølstad Poulsen, Hans Henrik Niemann

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

    395 Downloads (Pure)

    Abstract

    The focus in this paper is on stochastic change detection applied in connection with active fault diagnosis (AFD). An auxiliary input signal is applied in AFD. This signal injection in the system will in general allow to obtain a fast change detection/isolation by considering the output or an error output from the system. The classical CUSUM (cumulative sum) method will be modified such that it will be able to detect change in the signature from the auxiliary input signal in the (error) output signal. It will be shown how it is possible to apply both the gain as well as the phase change of the output vector in the CUSUM test.
    Original languageEnglish
    Title of host publicationProceedings of the IEEE Conference on Decision and Control
    PublisherIEEE
    Publication date2007
    Pages346-351
    ISBN (Print)978-1-4244-1497-0
    DOIs
    Publication statusPublished - 2007
    Event46th IEEE Conference on Decision and Control - Hilton New Orleans Riverside, New Orleans, Louisiana, United States
    Duration: 12 Dec 200714 Dec 2007
    Conference number: 46
    http://iss.bu.edu/dac/dac/cdc/index.php

    Conference

    Conference46th IEEE Conference on Decision and Control
    Number46
    LocationHilton New Orleans Riverside
    Country/TerritoryUnited States
    CityNew Orleans, Louisiana
    Period12/12/200714/12/2007
    Internet address

    Bibliographical note

    Copyright: 2007 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE

    Fingerprint

    Dive into the research topics of 'Stochastic Change Detection based on an Active Fault Diagnosis Approach'. Together they form a unique fingerprint.

    Cite this