Open AccessDigital image processing for physical basis analysis of electrical failure forecasting in XLPE power cables based on field simulation using finite‐element method
Author(s) -
Talaat M.,
Tayseer M.,
ElZein A.
Publication year - 2020
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.2020.1176
Subject(s) - finite element method , electrical treeing , digital image , structural engineering , field (mathematics) , computer science , algorithm , image processing , mechanical engineering , engineering , partial discharge , mathematics , electrical engineering , image (mathematics) , artificial intelligence , voltage , pure mathematics
In this research, digital image processing method (DIPM) is used as an innovative approach to predict precisely the shape of electrical tree (ET) in cross‐linked polyethylene (XLPE) power cables in the presence of air voids based on the field calculation using finite‐element method (FEM). With the help of DIPM, two case studies are held to detect the accurate parameters of either the first initiated major branch or the tips of the major branches of ET. A hyperbolic needle‐to‐plane simulation model is proposed to illustrate the ET inception and propagation stages. The non‐uniform electric fields thatare accompanied with the electrical treeing phenomenon are calculated using FEM as one of the most effective numerical methods to deal with non‐uniform shapes. The predicted shapes of ET initiation and growth are provided in an innovative manner with the implemented hybrid connection between FEM and DIPM for the two proposed case studies. Direction branching approach and deviation angle branching approach are provided in this work to predict the shape and the direction of ET branched voids. The validity of the proposed model is assessed with the help of available previous experimental and simulation data.