Insulation Capacitance as Diagnostic Marker for Thermally Aged, Low Voltage Electrical Machines

Vincenzo Madonna, Paolo Giangrande, Weiduo Zhao, Yinli Wang, He Zhang, Michael Galea

Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

14 Citations (Scopus)

Abstract

Thermal aging is considered as the principal insulation stress factor in low voltage electrical machines (EMs). Once the insulation reaches its end-of-life, a complete EM out of service can be caused within few operating cycles/hours. In this paper, the strand to strand insulation capacitance (IC) of thermally-stressed windings for low voltage EMs, is experimentally monitored. Its trend is analysed against the cumulative thermal aging with the objective of extrapolating an insulation lifetime prediction tool. The aged specimens are made of a class 200, round enameled magnet wire (modified polyester base coating and polyamide-imide over coating). This wire topology is widely adopted in low voltage EMs employed in aerospace and automotive applications. The outcome of the presented analysis can be either used for diagnostic purposes or for improving the EMs insulation design procedure.

Original languageEnglish
Title of host publication2019 22nd International Conference on Electrical Machines and Systems, ICEMS 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728133980
DOIs
Publication statusPublished - Aug 2019
Event22nd International Conference on Electrical Machines and Systems, ICEMS 2019 - Harbin, China
Duration: 11 Aug 201914 Aug 2019

Publication series

Name2019 22nd International Conference on Electrical Machines and Systems, ICEMS 2019

Conference

Conference22nd International Conference on Electrical Machines and Systems, ICEMS 2019
Country/TerritoryChina
CityHarbin
Period11/08/1914/08/19

Keywords

  • Accelerated Aging Tests
  • Design of Experiments
  • Insulating Materials
  • Organic Insulation
  • Physics of Failure
  • Thermal analysis

ASJC Scopus subject areas

  • Control and Optimization
  • Energy Engineering and Power Technology
  • Control and Systems Engineering
  • Electrical and Electronic Engineering
  • Mechanical Engineering

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