Open circuit fault diagnosis technique for inverter switches and gate drive malfunction

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Abstract

Open circuit faults (OCFs) in voltage source inverters (VSIs) can significantly affect their performance and reliability. In this paper, a novel fault diagnosis technique (FDT)is presented for the detection and classification of two types of OCFs in VSIs: gate drive malfunction (GDM) and open switch fault (OSF). the effect of these OCFs on the output current of the VSI is analysed, this shows that they can be identified and distinguished using the average and root mean square (RMS) ratio of the current parameters. The proposed FDT is simple to implement and can identify switch faults with quick response, without the need for additional equipment. In this work the authors adopted the ensemble bagged tree classification method to detect and classify the GDM and OSF, the results show the credibility of the proposed technique in identifying different open circuit faults.
Original languageEnglish
Title of host publication2023 58th International Universities Power Engineering Conference (UPEC)
PublisherIEEE
Number of pages6
ISBN (Electronic)9798350316834
ISBN (Print)9798350316841
DOIs
Publication statusPublished - 1 Nov 2023
Event58th International Universities Power Engineering Conference - Technological University Dublin, Dublin, Ireland
Duration: 29 Aug 20231 Sept 2023
https://upec2023.com/ (Link to conference website)

Publication series

NameInternational Universities Power Engineering (UPEC)
ISSN (Electronic)2767-9373

Conference

Conference58th International Universities Power Engineering Conference
Abbreviated titleUPEC 2023
Country/TerritoryIreland
CityDublin
Period29/08/231/09/23
Internet address

Keywords

  • ensemble bagged tree
  • Fault diagnosis
  • gate drive malfunction
  • Inverter
  • open switch fault

ASJC Scopus subject areas

  • Artificial Intelligence
  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering
  • Renewable Energy, Sustainability and the Environment
  • Modelling and Simulation

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