dc.contributor.author |
Kyriazis, A |
en |
dc.contributor.author |
Mathioudakis, K |
en |
dc.date.accessioned |
2014-03-01T01:55:59Z |
|
dc.date.available |
2014-03-01T01:55:59Z |
|
dc.date.issued |
2007 |
en |
dc.identifier.uri |
https://dspace.lib.ntua.gr/xmlui/handle/123456789/27904 |
|
dc.relation.uri |
http://www.ltt.mech.ntua.gr/paperfull/ISABE2007-1274.pdf |
en |
dc.subject |
Decision Fusion |
en |
dc.subject |
Diagnostic Method |
en |
dc.subject |
Fault Diagnosis |
en |
dc.subject |
Fuzzy Classification |
en |
dc.subject |
Fuzzy Logic |
en |
dc.subject |
Fuzzy Membership Function |
en |
dc.subject |
Fuzzy Set |
en |
dc.subject |
Fuzzy Set Theory |
en |
dc.subject |
Gas Turbine |
en |
dc.subject |
Information Fusion |
en |
dc.subject |
Probabilistic Neural Network |
en |
dc.subject |
Probability Distribution |
en |
dc.title |
Gas Turbine Fault Diagnosis Using Fuzzy-based Decision Fusion |
en |
heal.type |
journalArticle |
en |
heal.publicationDate |
2007 |
en |
heal.abstract |
A two-step information fusion technique allowing the combination of fast response and performance data for further improvement of gas turbines diagnostic procedure is proposed in this paper. The proposed technique derives from the notion of Decision level Fusion where different diagnostic methods provide assessments for the condition of an engine and the final decision results from a combination of these |
en |