Reliability Analysis of Power Systems Using Fuzzy Sets and their Extensions

Reliability Analysis of Power Systems Using Fuzzy Sets and their Extensions

dc.contributor.guide	Kumar, Amit and Singh, Yaduvir
dc.coverage.spatial
dc.creator.researcher	Verma, Manjit
dc.date.accessioned	2020-11-24T06:24:50Z
dc.date.available	2020-11-24T06:24:50Z
dc.date.awarded
dc.date.completed	2013
dc.date.registered
dc.description.abstract	In this thesis, a new type of fuzzy fault tree, named as non-normal p -norm trapezoidal fuzzy number based fuzzy fault tree and an approach, based on the proposed fuzzy fault tree, for evaluating the fuzzy reliability of industrial systems is proposed. Also,new approaches, based on Petri net, for evaluating some important vague reliability parameters of industrial systems as well as a new approach for evaluating the fuzzy reliability of such industrial systems in which failure probability of all the components are represent by different types of fuzzy numbers are proposed. To illustrate the proposed approach, based on non-normal p -norm trapezoidal fuzzy number based fuzzy fault tree, the fuzzy reliability of an electrical substation and to illustrate the approaches, based on Petri net, the vague reliability parameters of a compressor system and a gas turbine are evaluated. newline
dc.description.note
dc.format.accompanyingmaterial	None
dc.format.dimensions
dc.format.extent	126p.
dc.identifier.uri	http://hdl.handle.net/10603/307303
dc.language	English
dc.publisher.institution	School of Mathematics
dc.publisher.place	Patiala
dc.publisher.university	Thapar Institute of Engineering and Technology
dc.relation
dc.rights	university
dc.source.university	University
dc.subject.keyword	Fuzzy sets
dc.subject.keyword	Mathematics
dc.subject.keyword	Reliability
dc.title	Reliability Analysis of Power Systems Using Fuzzy Sets and their Extensions
dc.title.alternative
dc.type.degree	Ph.D.