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dc.contributor.advisorCollins, D.J.
dc.contributor.authorGengo, Joseph Thomas
dc.dateSeptember 1989
dc.date.accessioned2013-01-23T22:07:45Z
dc.date.available2013-01-23T22:07:45Z
dc.date.issued1989-09
dc.identifier.urihttp://hdl.handle.net/10945/26888
dc.descriptionApproved for public release; distribution is unlimited
dc.description.abstractNeural networks were applied to the Engine Condition and Monitoring System of the F/A-18 aircraft. Due to recent fleet experience with compressor blade failures in flight, neural networks were applied to three engine conditions; flameout due to compressor failures, normal operating conditions, and low oil pressure conditions. An attempt was made to predict compressor failure using the neural networks. A back propagation and back propagation/Kohonen network were successfully tested in recognizing the various conditions with data previously unseen by the networks. Both networks demonstrated promise in predicting failures although not enough data was available for conclusive results.
dc.description.urihttp://archive.org/details/applicationofneu00geng
dc.format.extent117 p.en_US
dc.language.isoen_US
dc.publisherMonterey, California. Naval Postgraduate Schoolen_US
dc.rightsThis publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.
dc.titleApplication of neural networks to the F/A-18 Engine Condition Monitoring Systemen_US
dc.typeThesisen_US
dc.contributor.secondreaderBall, R.E.
dc.contributor.corporateNaval Postgraduate School (U.S.)
dc.contributor.departmentAeronautics and Astronautics
dc.subject.authorneural networksen_US
dc.subject.authorback propagationen_US
dc.subject.authorKohonenen_US
dc.subject.authorF-18 IECMS reporten_US
dc.description.serviceLieutenant Commander, United States Navy
etd.thesisdegree.nameM.S. in Aeronautical Engineeringen_US
etd.thesisdegree.levelMastersen_US
etd.thesisdegree.disciplineAeronautical Engineeringen_US
etd.thesisdegree.grantorNaval Postgraduate Schoolen_US


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