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 language | English |
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Title of host publication | 2023 58th International Universities Power Engineering Conference (UPEC) |
Publisher | IEEE |
Number of pages | 6 |
ISBN (Electronic) | 9798350316834 |
ISBN (Print) | 9798350316841 |
DOIs | |
Publication status | Published - 1 Nov 2023 |
Event | 58th International Universities Power Engineering Conference - Technological University Dublin, Dublin, Ireland Duration: 29 Aug 2023 → 1 Sept 2023 https://upec2023.com/ (Link to conference website) |
Publication series
Name | International Universities Power Engineering (UPEC) |
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ISSN (Electronic) | 2767-9373 |
Conference
Conference | 58th International Universities Power Engineering Conference |
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Abbreviated title | UPEC 2023 |
Country/Territory | Ireland |
City | Dublin |
Period | 29/08/23 → 1/09/23 |
Internet address |
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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