http://lattes.cnpq.br/6209621390993225; BRITO, Kal-El Basílio.
Abstract:
This work presented the development of an algorithm based on digital image processing
for the extraction of attributes related to the ultraviolet manifestation of corona discharge
in high voltage components. The samples used in the development of the work were
videos obtained by a camera sensitive to emissions of ultraviolet radiation (UV). The
methodology employed consisted of capturing UV videos, developing the attribute
extraction algorithm and proposing the analysis of attributes. The capture of UV videos
was performed during voltage application tests on 230 kV polymeric insulators in
different operational states. The captured videos served as input for the developed
algorithm. The algorithm was responsible for the image enhancement of the video frames
and for the quantification and analysis of the extracted attributes. The attributes extracted
from the video were area estimative, integrated area, integrated perimeter, form factor,
relative persistence and the distances to the regions of interest of the polymeric insulator.
The results are presented in two approaches, one presenting the attributes in a normalized
way on a radar chart and the other presenting the distances of the UV manifestation to the
regions of interest of the insulator. The insulators were characterized by images, radar
charts and distances to the regions of interest. The polymeric insulators with tracking and
erosion, corrosion in the phase endfitting and with erosion and exposure of the core, as
they present more intense corona discharges, they were more explicitly characterized in
relation to the new reference insulator. For the case of the cracked insulator, as it presents
a UV manifestation similar to that of the new reference insulator, it was not possible to
characterize it explicitly. In general, a proposal was established to evaluate the UV
manifestation related to corona discharges from the UV videos captured from high
voltage components.
