Cristin-resultat-ID: 1189350
Sist endret: 21. februar 2015, 00:29
NVI-rapporteringsår: 2014
Resultat
Vitenskapelig artikkel
2014

A Unified Framework for Fault Detection and Diagnosis Using Particle Filter

Bidragsytere:
  • Bo Zhao og
  • Roger Skjetne

Tidsskrift

Modeling, Identification and Control
ISSN 0332-7353
e-ISSN 1890-1328
NVI-nivå 1

Om resultatet

Vitenskapelig artikkel
Publiseringsår: 2014
Publisert online: 2014
Volum: 35
Hefte: 4
Sider: 303 - 315
Open Access

Importkilder

Scopus-ID: 2-s2.0-84920366130

Klassifisering

Vitenskapsdisipliner

Teknisk kybernetikk • Marin teknologi

Emneord

Dynamisk Posisjonering • Feildiagnoser / Diagnostiske feil • Bevegelsesstyring

Beskrivelse Beskrivelse

Tittel

A Unified Framework for Fault Detection and Diagnosis Using Particle Filter

Sammendrag

In this paper, a particle filter (PF) based fault detection and diagnosis framework is proposed. A system with possible faults is modeled as a group of hidden Markov models representing the system in fault-free mode and different failure modes, and a first order Markov chain is modeling the system mode transitions. A modified particle filter algorithm is developed to estimate the system states and mode. By doing this, system faults are detected when estimating the system mode, and the size of the fault is diagnosed by estimating the system state. A new resampling method is also developed for running the modified PF efficiently. Two introductory examples and a case study are given in detail. The introduction examples demonstrate the manner to model a system with possible faults into hidden Markov model and Markov chain. The case study considers a numerical model with common measurement failure modes. It focuses on the verification of the proposed fault diagnosis and detection algorithm and shows the behavior of the particle filter.

Bidragsytere

Bo Zhao

  • Tilknyttet:
    Forfatter
    ved Institutt for marin teknikk ved Norges teknisk-naturvitenskapelige universitet
Aktiv cristin-person

Roger Skjetne

  • Tilknyttet:
    Forfatter
    ved Institutt for marin teknikk ved Norges teknisk-naturvitenskapelige universitet
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