Elegant data mining techniques for optimal features and parameters selection applicable to power quality data

dc.contributor.guideSelvi, Ken_US
dc.coverage.spatialInformation and Communication Engineeringen_US
dc.creator.researcherManimala, Ken_US
dc.date.accessioned2014-09-09T11:58:06Z
dc.date.available2014-09-09T11:58:06Z
dc.date.awarded30/10/2011en_US
dc.date.completed01/10/2011en_US
dc.date.issued2014-09-09
dc.date.registeredn.d.en_US
dc.description.abstractPower Quality PQ is becoming an important issue as the increase newlinein electricity use continues The PQ of a power signal is generally regarded as newlinethe relative deviations from an acceptable signal in terms of voltage current newlineand frequency Degradation in quality of electric power is normally caused newlineby powerline disturbances such as voltage sag swell momentary newlineinterruption harmonic distortion flicker notch spike and transients causing newlineproblems such as malfunctions instabilities short lifetime failure of electrical newlineequipments and so on Even one cycle interruption will make a silicon device newlineworthless and one second of power outage makes ecommerce sites lose newlinemillions of dollars worth business Thus, there is a definite power quality newlineproblem which needs to be solved to reduce the losses to industry and newlineconsumers newline newlineen_US
dc.description.noteReference p.193-200,Appendix 190-192en_US
dc.format.accompanyingmaterialNoneen_US
dc.format.dimensions23cmen_US
dc.format.extentxxii,203p.en_US
dc.identifier.urihttp://hdl.handle.net/10603/24843
dc.languageEnglishen_US
dc.publisher.institutionFaculty of Information and Communication Engineeringen_US
dc.publisher.placeChennaien_US
dc.publisher.universityAnna Universityen_US
dc.relation-en_US
dc.rightsuniversityen_US
dc.source.universityUniversityen_US
dc.subject.keywordElegant dataen_US
dc.subject.keywordinformation and communication engineeringen_US
dc.subject.keywordmining techniquesen_US
dc.titleElegant data mining techniques for optimal features and parameters selection applicable to power quality dataen_US
dc.title.alternative-en_US
dc.type.degreePh.D.en_US

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