Performance prediction diagnosis and vibration analysis of turbine using soft computing techniques

dc.contributor.guide	Saravanan, M
dc.coverage.spatial	Information and Communication Engineering
dc.creator.researcher	S, Devi
dc.date.accessioned	2017-11-16T05:54:57Z
dc.date.available	2017-11-16T05:54:57Z
dc.date.awarded	n.d.
dc.date.completed	2016
dc.date.registered	n.d.
dc.description.abstract	Abstract available
dc.description.note	Data not available
dc.format.accompanyingmaterial	None
dc.format.dimensions	30cm.
dc.format.extent	xxv, 130p.
dc.identifier.uri	http://hdl.handle.net/10603/181110
dc.language	English US
dc.publisher.institution	Faculty of Information and Communication Engineering
dc.publisher.place	Chennai
dc.publisher.university	Anna University
dc.relation	118-128
dc.rights	university
dc.source.university	University
dc.subject.keyword	Analysis
dc.subject.keyword	Computing
dc.subject.keyword	Diagnosis
dc.subject.keyword	Prediction
dc.subject.keyword	Turbine
dc.title	Performance prediction diagnosis and vibration analysis of turbine using soft computing techniques
dc.title.alternative
dc.type.degree	Ph.D.