dc.contributor.authorMuthukumar, Krishnanen_US
dc.date.accessioned2008-09-17T11:17:54Z
dc.date.accessioned2017-07-23T08:39:10Z
dc.date.available2008-09-17T11:17:54Z
dc.date.available2017-07-23T08:39:10Z
dc.date.copyright2005en_US
dc.date.issued2005
dc.identifier.citationMuthukumar, K. (2005). Condition based management of gas turbine engine using neural networks. Master’s thesis, Nanyang Technological University, Singapore.
dc.identifier.urihttp://hdl.handle.net/10356/6556
dc.description.abstractThis research work is focused on the development of the hybrid neural network model to asses the gas turbine’s compressor health. Effects of various gas turbine compressor performance recovery methods like on-line washing, off-line washing and manual inlet guide vane cleaning are analyzed to segregate the recoverable and non-recoverable losses. The developed hybrid neural network model is used to analysis the above losses and suggest appropriate compressor washing schedule to run the gas turbine at its maximum efficiency.en_US
dc.rightsNanyang Technological Universityen_US
dc.subjectDRNTU::Engineering::Mechanical engineering::Motors, engines and turbines
dc.titleCondition based management of gas turbine engine using neural networksen_US
dc.typeThesisen_US
dc.contributor.schoolSchool of Mechanical and Aerospace Engineeringen_US
dc.contributor.supervisorHo Hiang Kweeen_US
dc.description.degreeMASTER OF ENGINEERING (MPE)en_US


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