Affiliations: [a] Department of Electrical Engineering, Universidade
Federal de Campina Grande, Campina Grande, Brazil | Université Laval, Canada | Tohoku University, Japan
Correspondence:
[*]
Corresponding author: Glauco Fontgalland, Department of
Electrical Engineering/CEEI, Universidade Federal de Campina Grande, Rua
Aprigio Veloso 882, Campina Grande 58429 900, Brazil. E-mail:
[email protected]
Abstract: This paper proposes to use a statistical approach for classifying
the contamination level of insulators used in high voltage transmission lines.
This studied case considers the voltage applied on glass insulators used in a
chain of six elements of a 69 kV power line. When submitted to high voltage,
the insulators radiate radio frequency signals up to frequencies of some GHz.
In this frequency range the signal can be detected using portable antennas, and
then be applied to post processing. These received spectra are analyzed by
statistical methods, mean and standard deviation, and the cross relation
between them is used to classify the pollution level in insulators. To reduce
complexity and cost a simple data processing using the mean and the standard
deviation are used. Two types of glass insulators are considered: clean or
polluted, and to cover the entire frequency range from 30 MHz to 1 GHz two
types of antennas were needed. The results obtained with the mean and the
standard deviation show that the first 100 MHz bandwidth can be used for
statistical of the insulator pollution level.
Keywords: High voltage transmission lines insulators, radio frequency spectrum, statistical classification methods, mean value, standard deviation
