mdh.sePublikasjoner
Endre søk
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
A review of information fusion methodsfor gas turbine diagnostics
Mälardalens högskola, Akademin för ekonomi, samhälle och teknik, Framtidens energi. (Future Energy Center)ORCID-id: 0000-0001-6101-2863
Mälardalens högskola, Akademin för ekonomi, samhälle och teknik, Framtidens energi.ORCID-id: 0000-0003-3610-4680
Mälardalens högskola, Akademin för ekonomi, samhälle och teknik, Framtidens energi.
Mälardalens högskola, Akademin för ekonomi, samhälle och teknik, Framtidens energi.ORCID-id: 0000-0002-8466-356X
2019 (engelsk)Inngår i: Sustainability, ISSN 2071-1050, E-ISSN 2071-1050, Vol. 11, nr 22, artikkel-id 6202Artikkel, forskningsoversikt (Fagfellevurdert) Published
Abstract [en]

The correct and early detection of incipient faults or severe degradation phenomena in gas turbine systems is essential for safe and cost-effective operations. A multitude of monitoring and diagnostic systems were developed and tested in the last few decades. The current computational capability of modern digital systems was exploited for both accurate physics-based methods and artificial intelligence or machine learning methods. However, progress is rather limited and none of the methods explored so far seem to be superior to others. One solution to enhance diagnostic systems exploiting the advantages of various techniques is to fuse the information coming from different tools, for example, through statistical methods. Information fusion techniques such as Bayesian networks, fuzzy logic, or probabilistic neural networks can be used to implement a decision support system. This paper presents a comprehensive review of information and decision fusion methods applied to gas turbine diagnostics and the use of probabilistic reasoning to enhance diagnostic accuracy. The different solutions presented in the literature are compared, and major challenges for practical implementation on an industrial gas turbine are discussed. Detecting and isolating faults in a system is a complex problem with many uncertainties, including the integrity of available information. The capability of different information fusion techniques to deal with uncertainty are also compared and discussed. Based on the lessons learned, new perspectives for diagnostics and a decision support system are proposed. 

sted, utgiver, år, opplag, sider
2019. Vol. 11, nr 22, artikkel-id 6202
HSV kategori
Identifikatorer
URN: urn:nbn:se:mdh:diva-45906DOI: 10.3390/su11226202ISI: 000503277900016Scopus ID: 2-s2.0-85075901692OAI: oai:DiVA.org:mdh-45906DiVA, id: diva2:1367680
Konferanse
International Gas Turbine Congress IGTC2019
Tilgjengelig fra: 2019-11-04 Laget: 2019-11-04 Sist oppdatert: 2020-01-09bibliografisk kontrollert

Open Access i DiVA

fulltext(992 kB)47 nedlastinger
Filinformasjon
Fil FULLTEXT01.pdfFilstørrelse 992 kBChecksum SHA-512
36a4cc1c45952d4311cba1e8d8d5a57d21b36fbf4558e791a8f8b7f649a3bd61472d8dbbe462e7a7543a2453a6c02b3304c89080561284c51ff0994a1107f812
Type fulltextMimetype application/pdf

Andre lenker

Forlagets fulltekstScopus

Personposter BETA

Zaccaria, ValentinaRahman, MoksadurAslanidou, IoannaKyprianidis, Konstantinos

Søk i DiVA

Av forfatter/redaktør
Zaccaria, ValentinaRahman, MoksadurAslanidou, IoannaKyprianidis, Konstantinos
Av organisasjonen
I samme tidsskrift
Sustainability

Søk utenfor DiVA

GoogleGoogle Scholar
Totalt: 47 nedlastinger
Antall nedlastinger er summen av alle nedlastinger av alle fulltekster. Det kan for eksempel være tidligere versjoner som er ikke lenger tilgjengelige

doi
urn-nbn

Altmetric

doi
urn-nbn
Totalt: 16 treff
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf