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Assessment Techniques to Ensure Reliable Electrical Insulation for More Electric Transportation

descriptionPublicationkeyboard_double_arrow_right Article , Conference object 01 Oct 2019 Italy Publisher:IEEEJournal:IECON 2019 - 45th Annual Conference of the IEEE Industrial Electronics SocietyFunded by:EC | RAISE

Authors: Lusuardi, Luca; Rumi; Cavallini;

doi: 10.1109/iecon.2019.8927253

handle: 11585/720805

Assessment Techniques to Ensure Reliable Electrical Insulation for More Electric Transportation

- Summary
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Abstract

Partial discharge testing of complete, low-voltage induction machines and dry-type convertor transformers for the More Electric Transportation is discussed. The current standard (i.e. IEC 60034-18-41, 60317-0-1 and 61378–1) offers very few answers to the new challenges posed to the insulating systems reliability of these increasingly electrified electrical machines. Based on tests performed on different kind of specimens and the literature, the most promising assessment technique to ensure a reliable insulation is based on optical sensors. In addition, this work seeks to give some precise, but simple, indications on how to take into account the effect of altitude and high frequency in the qualification of an insulation system for More Electric Transportation and the limits of the different standards involved are highlighted.

Country

Italy

Related Organizations

Alma Mater Studiorum University of Bologna
Italy

Keywords

windings, High frequency, RAISE, Insulation, Partial Discharges, Partial Discharges, Insulation, Windings, High frequency, More Electric Aircraft, More Electric Vehicles, H2020, Clean Sky 2 JU, More Electric Vehicles, More Electric Aircraft

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	3
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 10%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average