Author:
Ilić Denis,Žarković Mileta,Milić Momčilo,Jovanović Đorđe,Partonjić Radmila,Stanojević Nikola
Abstract
During operation, the electrical insulation system (EIS) of high-voltage motors is exposed to various factors that can accelerate its aging. Timely knowledge of the actual state of the EIS is of great help in allocating funds for service activities. The condition of the EIS of the HV motor can be assessed to some extent by performing available electrical tests. A major shortcoming is the lack of accuracy and the lack of well-defined criteria in the current standards. In that way, a potential error can bias the evaluation of recorded results. The paper proposes the use of a fuzzy logic expert system for assessing the condition of EIS stators of HV motors based on the results of electrical measurements. Also, the proposed fuzzy approach is fully discussed. The created expert system fully relies on the criteria defined in the IS32-Internal Standard of PE EPS.
Publisher
Centre for Evaluation in Education and Science (CEON/CEES)
Reference8 articles.
1. Greg C. Stone, Edward A. Boulter, Ian Culbert, Hussein Dhirani, Electrical Insulation for Rotating Machines: Design, Evaluation, Aging, Testing, and Repair, Volume 21 of IEEE Press Series on Power and Energy Systems, John Wiley & Sons, 2004, ISBN 0471682896;
2. Denis Ilić, Mileta Žarković, Zlatan Stojković "Artificial intelligence system for stator condition diagnostic", Electrical Enginering, 2021. https://doi.org/10.1007/s00202-021-01402-6;
3. Evaluation and qualification of electrical insulation systems, IEC 60505:2011;
4. Rao Burjupati "Assessment of Stator winding Insulation, PART 1 -Review of deterioration mechanisms and condition monitoring techniques" The Journal of CPRI,. ISSN 0973 -0388, 2010;
5. Rotating Electrical Machines -Part 27-1: Off-line partial discharge measurements on the winding insulation, IEC 60034-27-1:2017, ISBN 978-2-8322-5104-1;