dc.contributor.author |
Romessis, C |
en |
dc.contributor.author |
Mathioudakis, K |
en |
dc.date.accessioned |
2014-03-01T01:56:15Z |
|
dc.date.available |
2014-03-01T01:56:15Z |
|
dc.date.issued |
2007 |
en |
dc.identifier.uri |
https://dspace.lib.ntua.gr/xmlui/handle/123456789/28014 |
|
dc.subject |
Fault Diagnosis |
en |
dc.subject |
Least Square |
en |
dc.subject |
Probabilistic Reasoning |
en |
dc.title |
The Use of Probabilistic Reasoning to Improve Least Squares Based Gas Path Diagnostics |
en |
heal.type |
journalArticle |
en |
heal.identifier.primary |
10.1115/1.2436548 |
en |
heal.identifier.secondary |
http://dx.doi.org/10.1115/1.2436548 |
en |
heal.publicationDate |
2007 |
en |
heal.abstract |
A method is proposed to support least square type of methods for deriving health param- eters from a small number of independent gas path measurements. The method derives statistical information using sets of solutions derived from a number of data records, to produce sets of candidate solutions with a lesser number of parameters. These sets can then be processed to |
en |
heal.journalName |
Journal of Engineering for Gas Turbines and Power-transactions of The Asme |
en |
dc.identifier.doi |
10.1115/1.2436548 |
en |