2026-04-07T09:50:18Zhttps://ebiltegia.mondragon.edu/oai/request

oai:ebiltegia.mondragon.edu:20.500.11984/68142024-11-22T07:15:32Zcom_20.500.11984_1143col_20.500.11984_1148

00925njm 22002777a 4500 dc Elorza Azpiazu, Leire author Moreno, Yerai author Egea, Aritz author Almandoz, Gaizka author Angulo, Ainara author 2024 The ageing of insulation systems in electric machines can compromise partial discharge-free designs. Regularly monitoring insulation health is crucial to prevent unexpected failures. Several authors have proposed health markers from impedance spectroscopy and partial discharge analysis. Nevertheless, no comparative study has evaluated their sensitivity as health monitoring techniques for complete windings tested until failure. This paper compares both techniques for a thermally aged electric machine winding until failure, with impedance spectrum and partial discharge measurements taken every 24 hours. Markers from impedance spectroscopy (resonance frequency, impedance above/below resonance frequency, and capacitance) and partial discharge measurements (partial discharge inception voltage and charge) were compared considering: (1) deteriorated insulation identification, (2) sensitivity to changes in the insulation, and (3) near breakdown indication ability. While impedance spectroscopy markers varied with ageing, partial discharge analysis proved more meaningful. Regular monitoring of partial discharge inception voltage and charge can identify deteriorated insulation and prompt necessary maintenance. 979-8-3503-7060-7 2473-2087 https://katalogoa.mondragon.edu/janium-bin/janium_login_opac.pl?find&ficha_no=178521 https://hdl.handle.net/20.500.11984/6814 Electric machines Fault Diagnosis Impedance Partial Discharge (PD) Thermal stresses ODS 7 Energía asequible y no contaminante ODS 9 Industria, innovación e infraestructura ODS 11 Ciudades y comunidades sostenibles ODS 12 Producción y consumo responsables ODS 13 Acción por el clima Comparison of impedance spectroscopy and partial discharge analysis as insulation health diagnosis techniques