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2021, br. 31, str. 103-112
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Fazi logički ekspertski sistem za procenu stanja izolacionog sistema statora VN motora
Fuzzy logic expert system for assessing the condition of the HV motor stator insulation system
aUniverzitet u Beogradu, Elektrotehnički fakultet, Srbija + Univerzitet u Beogradu, Elektrotehnički institut 'Nikola Tesla', Srbija bUniverzitet u Beogradu, Elektrotehnički institut 'Nikola Tesla', Srbija cUniverzitet u Beogradu, Elektrotehnički fakultet, Srbija
e-adresa: denis.ilic@ieent.org
Sažetak
Tokom rada električni izolacioni sistem (EIS) visokonaponskih motora je izložen uticaju raznih nepovoljnih faktora koji mogu uticati na njegovo ubrzano starenje. Blagovremeno poznavanje stvarnog stanja EIS od velike je pomoći pri raspoređivanju sredstava namenjenih servisnih aktivnosti i unapređivanju pouzdanosti pogona. Stanje VN motora se u određenoj meri može proceniti izvršenjem dostupnih električnih ispitivanja. Veliki nedostatak predstavljaju nedovoljno precizni i nedefinisani kriterijumi u važećim standardima što unosi potencijalnu grešku neobjektivnosti procenjivača rezultata. U radu će biti predložena upotreba fazi logičkog ekspertskog sistema za procenu stanja EIS statora VN motora na osnovu rezultata električnih merenja, sa osvrtom na sve pogodnosti koje automatizacija procesa procene i analize stanja nosi sa sobom. Kreirani ekspertski sistem će se u potpunosti oslanjati na kriterijume definisane u IS32 -Internom standardu JP EPS.
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.
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Reference
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*** (2015) Internal Standard: Electrical Power Industry of Serbia: Rotating Electrical Machines: Electric Insulation Systems (EIS): Tests for EIS in Service: Periodic Tests. First Edition IS32/1, Oktober
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Burjupati, R. (2010) Assessment of Stator winding Insulation: Review of deterioration mechanisms and condition monitoring technique. Journal of CPRI, PART 1
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IEC (2017) Rotating Electrical Machines: Off-line partial discharge measurements on the winding insulation. Part 27-1, 60034-27-1, ISBN 978-2-8322-5104-1
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IEC (2015) Rotating Electrical Machines: Dielectric dissipation factor measurement on stator winding insulation of rotating electrical machines. Part 27-3, 60034-27-3
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IEC (2011) Evaluation and qualification of electrical insulation systems. 60505
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IEEE (2019) IEEE Guide for Test Procedures for Synchronous Machines Including Acceptance and Performance Testing and Parameter Determination for Dynamic Analysis. Standard 115
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Ilić, D., Žarković, M., Stojković, Z. (2021) Artificial intelligence system for stator condition diagnostic. Electrical Engineering
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Stone, G.C., Boulter, E.A., Culbert, I., Dhirani, H. (2004) Electrical Insulation for Rotating Machines: Design, Evaluation, Aging, Testing, and Repair. u: IEEE Press Series on Power and Energy Systems, John Wiley & Sons, Volume 21, ISBN 0471682896
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