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JET ENGINE SENSOR VALIDATION WITH PROBABILISTIC NEURAL NETWORKS

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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


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