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A hybrid approach for power quality monitoring

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dc.contributor.authorTERZİ, ÜMİT KEMALETTİN
dc.contributor.authorsOzgonenel, Okan; Terzi, Umit Kemalettin; Khan, Abdesh
dc.date.accessioned2022-03-12T18:06:20Z
dc.date.available2022-03-12T18:06:20Z
dc.date.issued2012
dc.description.abstractThis paper presents a novel hybrid approach for detection of power quality (PQ) disturbances. The proposed hybrid algorithm is based on applications of principle component analysis, discrete wavelet transform, and fast Fourier transform on voltage and current waveforms. The proposed PQ monitoring (PQM) software uses 3-phase voltage and current signals in order to detect possible power disturbances such as voltage say, flicker, harmonics, transients, DC component, and electromagnetic interference. The test results demonstrate the potential of the proposed hybrid technique for PQM and PQ assessment.
dc.identifier.doi10.3906/elk-1102-1057
dc.identifier.eissn1303-6203
dc.identifier.issn1300-0632
dc.identifier.urihttps://hdl.handle.net/11424/230883
dc.identifier.wosWOS:000309698800003
dc.language.isoeng
dc.publisherTUBITAK SCIENTIFIC & TECHNICAL RESEARCH COUNCIL TURKEY
dc.relation.ispartofTURKISH JOURNAL OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCES
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectPower quality
dc.subjectdiscrete wavelet transform
dc.subjectprincipal component analysis
dc.subjectfast Fourier transform
dc.subjectinstrumentation
dc.titleA hybrid approach for power quality monitoring
dc.typearticle
dspace.entity.typePublication
local.avesis.id145d13ed-9505-4397-a87c-243ef6b1a6e5
local.import.packageSS17
local.indexed.atWOS
local.indexed.atSCOPUS
local.indexed.atTRDIZIN
local.journal.numberofpages16
oaire.citation.endPage869
oaire.citation.issue6
oaire.citation.startPage854
oaire.citation.titleTURKISH JOURNAL OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCES
oaire.citation.volume20
relation.isAuthorOfPublication0be06641-7d3d-4a7a-8e8c-7f32391e173b
relation.isAuthorOfPublication.latestForDiscovery0be06641-7d3d-4a7a-8e8c-7f32391e173b

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