Diagnosis of a DC-DC converter boost using the Artificial Neural Networks ANNs

Authors

  • Naas Djeddaoui
  • Naas Charrak
  • Zemmit Abderrahim
  • Lakhdar Bessissa
  • Imad Eddine Tibermacine
  • Karboua Mohamed Adel

DOI:

https://doi.org/10.54021/seesv5n1-110

Keywords:

chopper voltage source, DC machines, DC-DC converters, diagnosis, ANNs

Abstract

As we know in most the components of electrical equipment age during their operational life, which can be more or less long depending on the nature and degree of stress to which they are subjected, resulting in a degradation of performance to improve the reliability of the system. Industrial applications the DC machines are powered by a chopper voltage source. These machines are sensitive to different types of defects occurring to switches, capacitors and coils the need to conduct studies for the detection, localization and maintenance of defects become crucial. To avoid serious faults in DC-DC converters, several concepts have been applied to the diagnosis of these. The ANN method is used to diagnose DC-DC converters.

References

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GUILBERT, Da.; GAILLARD, A.; N'DIAYE, A.; DJERDIR, A. Diagnostic de défauts d'un convertisseur boost entrelacé pour véhicules électriques à pile à combustible. Cachan: Symposium de Génie Electrique, 2014.

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MATHWORKS. Pattern recognition. Natick, 2024. Disponível em: http://www.mathworks.com/discovery/pattern-recognition.html. Acesso em: 17 maio 2024.

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Published

2024-05-27

How to Cite

Djeddaoui, N., Charrak, N., Abderrahim, Z., Bessissa, L., Tibermacine, I. E., & Adel, K. M. (2024). Diagnosis of a DC-DC converter boost using the Artificial Neural Networks ANNs. STUDIES IN ENGINEERING AND EXACT SCIENCES, 5(1), 2216–2231. https://doi.org/10.54021/seesv5n1-110