Fault detection and identification via multi-level hypotheses testing

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

This paper formulates a recursive algorithm of multi-level hypotheses testing for real-time detection and identification of potential faults from continuous sensor signals. The usage of the recursive algorithm is illustrated on a data set of temperature sensors, collected from an operating power plant.

Original languageEnglish (US)
Title of host publicationIFAC Proceedings Volumes (IFAC-PapersOnline)
EditorsGabriel Ferrate, Eduardo F. Camacho, Luis Basanez, Juan. A. de la Puente
PublisherIFAC Secretariat
Pages413-418
Number of pages6
Edition1
ISBN (Print)9783902661746
DOIs
StatePublished - Jan 1 2002
Event15th World Congress of the International Federation of Automatic Control, 2002 - Barcelona, Spain
Duration: Jul 21 2002Jul 26 2002

Publication series

NameIFAC Proceedings Volumes (IFAC-PapersOnline)
Number1
Volume15
ISSN (Print)1474-6670

Other

Other15th World Congress of the International Federation of Automatic Control, 2002
CountrySpain
CityBarcelona
Period7/21/027/26/02

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering

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