Fault Residuals Based on Distributed Discrete-Time Linear Kalman Filtering

Dusan Krokavec and Anna Filasova

A chapter in Fault Detection and Diagnosis from IntechOpen

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.

Keywords: linear noisy systems; Kalman filtering; innovation sequences; fault residual filters; distributed computing (search for similar items in EconPapers)
JEL-codes: C60 (search for similar items in EconPapers)
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Persistent link: https://EconPapers.repec.org/RePEc:ito:pchaps:157562

DOI: 10.5772/intechopen.80296

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