Fixed least squares support vector machines for flashover modelling of outdoor insulators

A Mahdjoubi, B Zegnini, M Belkheiri… - Electric Power Systems …, 2019 - Elsevier
Many theoretical and experimental studies have been performed to optimize the
maintenance times of outdoor insulators. But most of the proposed methods are both time …

Supervised learning based method for condition monitoring of overhead line insulators using leakage current measurement

M Mitrovic, D Titov, K Volkhov, I Lukicheva… - … Applications of Artificial …, 2025 - Elsevier
As a new practical and economical solution to the aging problem of overhead line (OHL)
assets, the technical policies of most power grid companies in the world experienced a …

Performance of<? show [AQ ID= Q1]?> different kernel functions for LS‐SVM‐GWO to estimate flashover voltage of polluted insulators

SA Bessedik, R Djekidel… - IET Science, Measurement …, 2018 - Wiley Online Library
This work attempts to clarify the potentials of hybrid model based on least‐squares support
vector machine (LS‐SVM) and a novel meta‐heuristic algorithm called Grey Wolf optimiser …

Prediction of critical flashover voltage of high voltage insulators leveraging bootstrap neural network

MTK Niazi, Arshad, J Ahmad, F Alqahtani… - Electronics, 2020 - mdpi.com
Understanding the flashover performance of the outdoor high voltage insulator has been in
the interest of many researchers recently. Various studies have been performed to …

Minimization of cable-net reflector shape error by machine learning

Y Tang, T Li, Y Liu, Z Wang - Journal of Spacecraft and Rockets, 2019 - arc.aiaa.org
During assembly of a cable-net reflector, surface adjustments must be made to meet the
stick accuracy requirement of a space mission by changing the lengths of adjustable cables …

[PDF][PDF] Prediction of critical flashover voltage of polluted insulators under sec and rain conditions using least squares support vector machines (LS-SVM)

A Mahdjoubi, B Zegnini, M Belkheiri - Diagnostyka, 2019 - bibliotekanauki.pl
This paper describes a methodology that was developed for the prediction of the critical
flashover voltage of polluted insulators under sec and rain conditions least squares support …

[PDF][PDF] Taguchi integrated least square support vector machine an alternative to artificial neural network analysis of electrochemical machining process

KC Nayak, RK Tripathy - IOSR Journal of Mechanical and Civil …, 2012 - academia.edu
The important performance parameter such as material removal rate (MRR) and surface
roughness (SR) are influenced by various machining parameters namely voltage, feed rate …

Minimization of Cable-Net Reflector Shape Error by Target-Approaching and Procedural-Learning Method

Z Shi, T Li, Y Tang, X Chen, L Yang… - Journal of Aerospace …, 2022 - ascelibrary.org
Cable length adjustment is a critical step to minimize the shape error of cable-net reflectors.
The adjustment requires tedious repetitive work, but the surface accuracy is often …

[PDF][PDF] Prediction of flashover voltage of insulators using adaptive-neuro-fuzzy inference system

SA Bessedik, H Hadi - JEE Journal of Electric Engineering, 2013 - researchgate.net
High voltage insulators form an essential part of the high voltage electric power transmission
systems. Any failure in the satisfactory performance of high voltage insulators will result in …

An approach to predict flashover voltage on polluted outdoor insulators using ANN

L Taibaoui, B Zegnini… - 2022 19th International …, 2022 - ieeexplore.ieee.org
This paper aims to determine the critical flashover voltage on contaminated insulators using
an artificial neural network. The artificial neural network determines the critical flashover …