Fault diagnosis of hydraulic flow induced  rotary systems using vibration signal processing  and artificial intelligence

dc.contributor.guide	Kumar, Rajesh
dc.coverage.spatial
dc.creator.researcher	Vashishtha, Govind
dc.date.accessioned	2022-11-29T05:38:03Z
dc.date.available	2022-11-29T05:38:03Z
dc.date.awarded	2022
dc.date.completed	2022
dc.date.registered
dc.description.abstract	Attached
dc.description.note
dc.format.accompanyingmaterial	DVD
dc.format.dimensions
dc.format.extent	284P.
dc.identifier.uri	http://hdl.handle.net/10603/421004
dc.language	English
dc.publisher.institution	Department of Mechanical Engineering
dc.publisher.place	Longowal
dc.publisher.university	Sant Longowal Institute of Engineering and Technology
dc.relation
dc.rights	university
dc.source.inflibnet	INFLIBNET
dc.subject.keyword	Engineering
dc.subject.keyword	Engineering and Technology
dc.subject.keyword	Engineering Mechanical
dc.title	Fault diagnosis of hydraulic flow induced rotary systems using vibration signal processing and artificial intelligence
dc.title.alternative	-
dc.type.degree	Ph.D.