Sensor Fault Detection and Isolation Using Bayesian Estimation and Kullback Leibler Divergence

dc.contributor.guide	V H Patankar
dc.coverage.spatial
dc.creator.researcher	SURYAKANT GAUTAM
dc.date.accessioned	2022-06-13T06:27:20Z
dc.date.available	2022-06-13T06:27:20Z
dc.date.awarded
dc.date.completed	2022
dc.date.registered	2014
dc.description.abstract	newline
dc.description.note
dc.format.accompanyingmaterial	DVD
dc.format.dimensions
dc.format.extent
dc.identifier.uri	http://hdl.handle.net/10603/385938
dc.language	English
dc.publisher.institution	Department of Engineering Sciences
dc.publisher.place	Mumbai
dc.publisher.university	Homi Bhabha National Institute
dc.relation
dc.rights	university
dc.source.university	University
dc.subject.keyword	Abrupt Fault
dc.subject.keyword	Bayesian Estimation
dc.subject.keyword	Extended Kalman Filter
dc.subject.keyword	Fault Detection and Isolation
dc.subject.keyword	Kalman Filter
dc.subject.keyword	Kullback-Leibler Divergence
dc.subject.keyword	Nuclear Power Plant
dc.subject.keyword	Pressurizer
dc.subject.keyword	Sensor Incipient Fault
dc.subject.keyword	Statistical Distance Measure
dc.title	Sensor Fault Detection and Isolation Using Bayesian Estimation and Kullback Leibler Divergence
dc.title.alternative
dc.type.degree	Ph.D.