Reliability Enhancement of Line Insulator of a Transmission System using Artificial Neural Network

Sumit Mathur; G.K. Joshi

doi:https://doi.org/10.14445/22315381/ IJETT-V41P262

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Volume 41 | Number 1 | Year 2016 | Article Id. IJETT-V41P262 | DOI : https://doi.org/10.14445/22315381/IJETT-V41P262

Reliability Enhancement of Line Insulator of a Transmission System using Artificial Neural Network

Sumit Mathur, G.K. Joshi

Citation :

Sumit Mathur, G.K. Joshi, "Reliability Enhancement of Line Insulator of a Transmission System using Artificial Neural Network," International Journal of Engineering Trends and Technology (IJETT), vol. 41, no. 1, pp. 341-346, 2016. Crossref, https://doi.org/10.14445/22315381/ IJETT-V41P262

Abstract

The line insulators which hold the transmission line conductor suffer degradation in dielectric quality due to pollution. The pollution is caused because of the formation of layers of salt, chemicals, dust and oil etc. on the surface of dielectric. This pollution affects the resistance and capacitance of the dielectric and therefore Tan? which increases with pollution. Also when the growth in Tan? exceeds the threshold value of Tan? for the insulator, it loses reliability. The aim of the present paper is to assess the reliability by monitoring growth in Tan?. The insulators are washed with water to check the growth in pollution and to enhance the reliability of insulator. Washing controls the growth of pollution and therefore growth of Tan?. The Tan? therefore takes longer time to attain its threshold value. The insulator therefore loses its reliability at a later point of time thus ensuring reliability enhancement. The reliability enhancement of insulator due to control in growth of Tan? is also confirmed through Artificial Neural Network.

Keywords

Dissipation factor, Tan?, Loss factor, Pollution factor, Periodic Washing, Reliability, Artificial Neural Network (ANN).

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