dc.contributor.authorZhu, Haiyuen_US
dc.date.accessioned2008-09-17T09:31:47Z
dc.date.accessioned2017-07-23T08:31:19Z
dc.date.available2008-09-17T09:31:47Z
dc.date.available2017-07-23T08:31:19Z
dc.date.copyright2006en_US
dc.date.issued2006
dc.identifier.citationZhu, H. (2006). Wavelet-based identification and classification of voltage variations and capacitor switching transients. Doctoral thesis, Nanyang Technological University, Singapore.
dc.identifier.urihttp://hdl.handle.net/10356/3536
dc.description.abstractTwo wavelet-based applications in power quality analysis have been introduced in this thesis. One is a wavelet-based energy content method for classifying short duration voltage variations. The accurate time and magnitude information of the disturbances can be obtained using this method. Even the short duration voltage interruptions, which are difficult to be identified using the conventional RMS method, can be readily identified by this method. The other is a wavelet-based fuzzy method for identifying capacitor switching transients. This method can discriminate capacitor switching transients from other transients while tolerating some uncertainties with the system parameters.en_US
dc.rightsNanyang Technological Universityen_US
dc.subjectDRNTU::Engineering::Electrical and electronic engineering::Power electronics
dc.titleWavelet-based identification and classification of voltage variations and capacitor switching transientsen_US
dc.typeThesisen_US
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen_US
dc.contributor.supervisorChen Shiunen_US
dc.description.degreeDOCTOR OF PHILOSOPHY (EEE)en_US


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