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dc.contributor.authorNegi, Sanjay Singh
dc.contributor.authorKishor, Nand
dc.contributor.authorUhlen, Kjetil
dc.contributor.authorNegi, Richa
dc.date.accessioned2018-02-05T10:12:36Z
dc.date.available2018-02-05T10:12:36Z
dc.date.created2017-09-28T14:26:58Z
dc.date.issued2017
dc.identifier.issn1551-3203
dc.identifier.urihttp://hdl.handle.net/11250/2482565
dc.description.abstractThe potential application of signal processing techniques is not only to detect the event but also to characterize them according to physical disturbance. In this paper, event detection and its characterization algorithm is presented. The event detection scheme uses computation of spectral kurtosis on sum of intrinsic mode functions. The algorithm is capable of detecting the event in phasor measurement units data by comparing the maximum energy and root-mean square of energy content of present analysis segment with respect to previous segment. The statistical indices applied are capable to flag specific data and thus the timely detection of events. Further, statistical features extracted from event-related segment suggest that the transient signals from different regions are distinct and thus can be classified. The signal characterization is further represented in terms of short-term energy and group delay. The analysis on event triggered signal demonstrates the related physical phenomenon in each event type. The study suggests the most relevant signal associated with a particular type of event.nb_NO
dc.language.isoengnb_NO
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)nb_NO
dc.titleEvent Detection and its Signal Characterization in PMU Data Streamnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionacceptedVersionnb_NO
dc.source.volumePPnb_NO
dc.source.journalIEEE Transactions on Industrial Informaticsnb_NO
dc.source.issue99nb_NO
dc.identifier.doi10.1109/TII.2017.2731366
dc.identifier.cristin1499802
dc.relation.projectNorges forskningsråd: 246784nb_NO
dc.description.localcode© 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.nb_NO
cristin.unitcode194,63,20,0
cristin.unitnameInstitutt for elkraftteknikk
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.fulltextpostprint
cristin.qualitycode2


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