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Analysis of wavelet transform de-noising technique based on measured lightning return stroke electric field

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dc.citedby2
dc.contributor.authorArshad S.N.M.en_US
dc.contributor.authorAb Kadir M.Z.A.en_US
dc.contributor.authorIzadi M.en_US
dc.contributor.authorHamzah M.N.en_US
dc.contributor.authorAriffen A.M.en_US
dc.contributor.authorWooi C.L.en_US
dc.contributor.authorAnuar A.en_US
dc.contributor.authorid56177750400en_US
dc.contributor.authorid25947297000en_US
dc.contributor.authorid56406980700en_US
dc.contributor.authorid56178515100en_US
dc.contributor.authorid55199804600en_US
dc.contributor.authorid55912811600en_US
dc.contributor.authorid57214781422en_US
dc.date.accessioned2023-05-29T09:07:48Z
dc.date.available2023-05-29T09:07:48Z
dc.date.issued2021
dc.description.abstractThis paper presents a difference type of wavelet transform de-noising technique based on measured lightning electric field. The lightning electric fields captured by two parallel plats sensor and the signal were analyses accordingly. In engineering application, lightning stroke current parameter will relate with electric fields and these parameters can be recognized by direct and in-direct measuring method. Therefore, measuring lightning electric fields (LEF) using parallel plate was done by many researchers. However, measuring LEF has many disturbances such as noise from other apparatus and other device. Therefore, de-noising of LEF signal is important to get useful signal for further research. For this reason, the Centre for Electromagnetic and Lighting Protection Research (CELP) group has been working on a research program to study and characteristic lightning using de-noising technique in order to process and analyse the radiated LEF produced during flash happens. Only three types of wavelet transform are selected and there are Daubechies, Symlets and Coiflets wavelet. The result will be discussed and the best will be selected based on the measured signal. � 2021 American Institute of Physics Inc.. All rights reserved.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo20006
dc.identifier.doi10.1063/5.0045016
dc.identifier.scopus2-s2.0-85105632350
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85105632350&doi=10.1063%2f5.0045016&partnerID=40&md5=bcbe2477a54e973d56607e04a5efaaa2
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/26209
dc.identifier.volume2339
dc.publisherAmerican Institute of Physics Inc.en_US
dc.sourceScopus
dc.sourcetitleAIP Conference Proceedings
dc.titleAnalysis of wavelet transform de-noising technique based on measured lightning return stroke electric fielden_US
dc.typeConference Paperen_US
dspace.entity.typePublication
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