Open AccessTheoretical Study of Potential Manufacturing Insulation Defects in Medium–Voltage Traction Motors
Author(s) -
Adoum Traoré Ndama,
AUTHOR_ID,
Elysée Obame Ndong,
Yves Constant Mombo Boussougou,
Grace Jourdain Tsoumou,
Eloi Blampain
Publication year - 2022
Publication title -
international journal emerging technology and advanced engineering
Language(s) - English
Resource type - Journals
ISSN - 2250-2459
DOI - 10.46338/ijetae0122_09
Subject(s) - multiphysics , capacitance , dielectric , traction (geology) , dissipation , traction motor , materials science , dissipation factor , voltage , mechanical engineering , engineering , electrical engineering , optoelectronics , structural engineering , finite element method , physics , electrode , quantum mechanics , thermodynamics
Medium-voltage motors dedicated to the applications of traction operate in an environment with strong multi-physics constraints. Electrical insulation of these engines is a complex multi-layered impregnated system which requires a given number of steps during the manufacturing process. In the present study, we theoretically investigated the potential manufacturing insulation defects of traction motors in low frequency domain. The aim is to assess the theoretical ability of dielectric spectroscopy method for the detection of these defects and the extension of the method to others insulation systems. The theoretical study is based on numerical modelling and simulation achieved by using Comsol Multiphysics software. In our numerical modelling the properties of the main dielectric elementary materials are frequency–dependent. The identification of each potential defect is carried out by comparing its equivalent capacitance and dissipation loss spectra with the characteristics of insulation without defect. As the results, all artificial defects are identifiable with a specific relative deviation. The detection of all the defects analysed will need a measuring device with resolution of 0.4%. Keywords—AC electric motors, Capacitance, dielectric, dissipation factor, composite insulation, numerical modelling.