Fault diagnosis in a five-level multilevel inverter using an artificial neural network approach

E. Parimalasundar, R. Senthil Kumar, V. S. Chandrika, K. Suresh

Open source

DOI: 10.20998/2074-272x.2023.1.05
Published: 2023-01-04
Container: Electrical Engineering & Electromechanics
Publisher: National Technical University Kharkiv Polytechnic Institute
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.20998/2074-272x.2023.1.05,
  title = {Fault diagnosis in a five-level multilevel inverter using an artificial neural network approach},
  author = {E. Parimalasundar and R. Senthil Kumar and V. S. Chandrika and K. Suresh},
  year = {2023},
  journal = {Electrical Engineering \&amp; Electromechanics},
  doi = {10.20998/2074-272x.2023.1.05},
  url = {https://doi.org/10.20998/2074-272x.2023.1.05}
}

RIS

TY  - JOUR
TI  - Fault diagnosis in a five-level multilevel inverter using an artificial neural network approach
AU  - E. Parimalasundar
AU  - R. Senthil Kumar
AU  - V. S. Chandrika
AU  - K. Suresh
PY  - 2023
JO  - Electrical Engineering &amp; Electromechanics
DO  - 10.20998/2074-272x.2023.1.05
UR  - https://doi.org/10.20998/2074-272x.2023.1.05
ER  -

APA

Parimalasundar, E., Kumar, R. S., Chandrika, V. S., & Suresh, K. (2023). Fault diagnosis in a five-level multilevel inverter using an artificial neural network approach. Electrical Engineering & Electromechanics. https://doi.org/10.20998/2074-272x.2023.1.05

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crossref · retrieved 2026-11-10T16:46:01.647Z