Open AccessAccurate identification and characterisation of transient phenomena using wavelet transform and mathematical morphology
Author(s) -
GuillénGarcía Emmanuel,
MoralesVelazquez Luis,
ZoritaLamadrid Angel Luis,
DuquePerez Oscar,
OsornioRios Roque Alfredo,
RomeroTroncoso Rene de Jesus
Publication year - 2019
Publication title -
iet generation, transmission and distribution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.92
H-Index - 110
eISSN - 1751-8695
pISSN - 1751-8687
DOI - 10.1049/iet-gtd.2019.0101
Subject(s) - transient (computer programming) , closing (real estate) , wavelet transform , wavelet , computer science , identification (biology) , signal (programming language) , mathematical morphology , pattern recognition (psychology) , artificial intelligence , image processing , botany , political science , law , image (mathematics) , biology , programming language , operating system
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.