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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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Published in: | IET generation, transmission & distribution transmission & distribution, 2019-09, Vol.13 (18), p.4021-4028 |
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Main Authors: | , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Request full text |
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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. |
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ISSN: | 1751-8687 1751-8695 1751-8695 |
DOI: | 10.1049/iet-gtd.2019.0101 |