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Accurate identification and characterisation of transient phenomena using wavelet transform and mathematical morphology

Electric transient events are recurrent phenomena in electrical installations and distribution systems or grids; hence, the identification of these kinds of phenomena has become an important topic for researchers. This work presents a methodology to identify and accurately delimit transients in curr...

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Bibliographic Details
Published in:IET generation, transmission & distribution transmission & distribution, 2019-09, Vol.13 (18), p.4021-4028
Main Authors: Guillén-García, Emmanuel, Morales-Velazquez, Luis, Zorita-Lamadrid, Angel Luis, Duque-Perez, Oscar, Osornio-Rios, Roque Alfredo, Romero-Troncoso, Rene de Jesus
Format: Article
Language:English
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Summary:Electric transient events are recurrent phenomena in electrical installations and distribution systems or grids; hence, the identification of these kinds of phenomena has become an important topic for researchers. This work presents a methodology to identify and accurately delimit transients in current signals of non-residential buildings. The proposed method firstly analyses the signal using the wavelet transform to pre-visualise the transients, and then opening and closing morphological operators are applied to the signal to find the beginning and ending of the transient; furthermore, the highest point of the transient and its location is obtained. The experimentation is performed with real current signals measured in a non-residential building. The results indicate that the proposed method can precisely identify and delimit transients, even when the transients are very close to each other.
ISSN:1751-8687
1751-8695
1751-8695
DOI:10.1049/iet-gtd.2019.0101