Finding The Fault Inception Time Using Wavelet Transform
but.event.date | 25.04.2019 | cs |
but.event.title | Student EEICT 2019 | cs |
dc.contributor.author | Bukvisova, Zuzana | |
dc.date.accessioned | 2020-04-16T07:19:39Z | |
dc.date.available | 2020-04-16T07:19:39Z | |
dc.date.issued | 2019 | cs |
dc.description.abstract | This paper deals with the transient detection method utilizing the wavelet transform, which proved to be more suitable for this purpose than the Fourier transform. The aim of this work is to analyze data, obtained from the power network model created in PSCAD software, and to determine the time of the fault inception. This calculated time is then compared with the actual fault inception time set in the model. The results show that the wavelet analysis can successfully detect all tested faults. | en |
dc.format | text | cs |
dc.format.extent | 654-658 | cs |
dc.format.mimetype | application/pdf | en |
dc.identifier.citation | Proceedings of the 25st Conference STUDENT EEICT 2019. s. 654-658. ISBN 978-80-214-5735-5 | cs |
dc.identifier.isbn | 978-80-214-5735-5 | |
dc.identifier.uri | http://hdl.handle.net/11012/186753 | |
dc.language.iso | en | cs |
dc.publisher | Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií | cs |
dc.relation.ispartof | Proceedings of the 25st Conference STUDENT EEICT 2019 | en |
dc.relation.uri | http://www.feec.vutbr.cz/EEICT/ | cs |
dc.rights | © Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií | cs |
dc.rights.access | openAccess | en |
dc.subject | wavelet transform | en |
dc.subject | transient analysis | en |
dc.subject | travelling waves | en |
dc.title | Finding The Fault Inception Time Using Wavelet Transform | en |
dc.type.driver | conferenceObject | en |
dc.type.status | Peer-reviewed | en |
dc.type.version | publishedVersion | en |
eprints.affiliatedInstitution.department | Fakulta elektrotechniky a komunikačních technologií | cs |
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