Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/62468
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dc.titleNew approach to identification of transient power quality problems using linear combiners
dc.contributor.authorDash, P.K.
dc.contributor.authorLiew, A.C.
dc.contributor.authorSalama, M.M.A.
dc.contributor.authorMishra, B.R.
dc.contributor.authorJena, R.K.
dc.date.accessioned2014-06-17T06:51:22Z
dc.date.available2014-06-17T06:51:22Z
dc.date.issued1999-07-01
dc.identifier.citationDash, P.K., Liew, A.C., Salama, M.M.A., Mishra, B.R., Jena, R.K. (1999-07-01). New approach to identification of transient power quality problems using linear combiners. Electric Power Systems Research 51 (1) : 1-11. ScholarBank@NUS Repository.
dc.identifier.issn03787796
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/62468
dc.description.abstractIn this paper, we present a new approach to identify transient power quality disturbances using linear combiners and a fuzzy decision support system. The key idea underlying the approach is to obtain the amplitude and the slope of the peak fundamental component of a voltage waveform using adaptive linear combiners, along with nonlinear least mean squares (LMS) algorithm. Fuzzy logic is then used to identify the class to which the waveform belongs by a set of heuristic rules and an uncertainty index. Detailed digital simulation results involving various types of transient power quality disturbances are presented to prove the ability of the new approach in classifying these disturbances.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1016/S0378-7796(98)00087-X
dc.sourceScopus
dc.typeArticle
dc.contributor.departmentELECTRICAL ENGINEERING
dc.description.sourcetitleElectric Power Systems Research
dc.description.volume51
dc.description.issue1
dc.description.page1-11
dc.description.codenEPSRD
dc.identifier.isiut000081426700001
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