dc.contributor.author |
Romessis, C |
en |
dc.contributor.author |
Mathioudakis, K |
en |
dc.date.accessioned |
2014-03-01T01:52:42Z |
|
dc.date.available |
2014-03-01T01:52:42Z |
|
dc.date.issued |
2003 |
en |
dc.identifier.uri |
https://dspace.lib.ntua.gr/xmlui/handle/123456789/26700 |
|
dc.relation.uri |
http://www.ltt.mech.ntua.gr/paperfull/ETC2003-197.pdf |
en |
dc.subject |
Engine Performance |
en |
dc.subject |
Engineering Design |
en |
dc.subject |
Probabilistic Neural Network |
en |
dc.title |
JET ENGINE SENSOR VALIDATION WITH PROBABILISTIC NEURAL NETWORKS |
en |
heal.type |
journalArticle |
en |
heal.publicationDate |
2003 |
en |
heal.abstract |
A method of identifying faults on the sensors used to monitor the performance and the condition of jet engines is presented. The method uses probabilistic neural networks and can identify the presence of a fault in the reading of a sensor and quantify the magnitude of this fault, namely the bias from the true reading. The possibility to detect this |
en |