IDEAS home Printed from https://ideas.repec.org/h/ito/pchaps/157562.html
   My bibliography  Save this book chapter

Fault Residuals Based on Distributed Discrete-Time Linear Kalman Filtering

In: Fault Detection and Diagnosis

Author

Listed:
  • Dusan Krokavec
  • Anna Filasova

Abstract

The chapter is concerned with the application of distributed discrete-time linear Kalman filtering with decentralized structure of sensors in fault residual generation. Two variants of distributed Kalman filtering algorithms are introduced, giving the incidence of equivalent functional realization structure of fault residual filters. The obtained solutions use Kalman filter innovations in a nonstandard way to generate residuals with significantly higher dynamic signal range. The obtained results, offering structures for fault detection filter realization, are illustrated with a numerical example to note the effectiveness of the approach.

Suggested Citation

  • Dusan Krokavec & Anna Filasova, 2018. "Fault Residuals Based on Distributed Discrete-Time Linear Kalman Filtering," Chapters, in: Constantin Volosencu (ed.), Fault Detection and Diagnosis, IntechOpen.
    • Handle: RePEc:ito:pchaps:157562
    DOI: 10.5772/intechopen.80296
    as

    Download full text from publisher

    File URL: https://www.intechopen.com/chapters/62938
    Download Restriction: no
    File URL: https://libkey.io/10.5772/intechopen.80296?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Keywords

    linear noisy systems; Kalman filtering; innovation sequences; fault residual filters; distributed computing;
    All these keywords.

    JEL classification:

    • C60 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - General

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ito:pchaps:157562. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Slobodan Momcilovic (email available below). General contact details of provider: http://www.intechopen.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.