Different Clustering Methods Applied to Image Processing in Electrical Power System Field

Authors

  • Zakia AICI Laboratory of Signals and systems (LSS), Power and Control Dep., Institut de Génie Electrique et Electronique (IGEE), Université M’Hamed Bougara Boumerdes (UMBB)
  • Hamid Bentarzi

DOI:

https://doi.org/10.51485/ajss.v7i4.177

Keywords:

Infrared imaging, image segmentation, threshold, clustering algorithm

Abstract

Temperature is an important indicator of the electrical equipment conditions. An accurate fault diagnosis can be performed by using the temperature profile of the electrical equipment surface. Infrared thermograph has gained more attention and becomes an interesting method in electrical fault diagnosis due to its advantages. This paper presents a review of different methods of image segmentation (clustering algorithms) applied to infrared thermograph which has been used to get useful information from electrical equipment of power system for faults detection, classification and localization.

 

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Author Biographies

Zakia AICI , Laboratory of Signals and systems (LSS), Power and Control Dep., Institut de Génie Electrique et Electronique (IGEE), Université M’Hamed Bougara Boumerdes (UMBB)

 

 

 

Hamid Bentarzi

 

 

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Published

2023-01-14

How to Cite

[1]
AICI , Z. and Bentarzi, H. 2023. Different Clustering Methods Applied to Image Processing in Electrical Power System Field. Algerian Journal of Signals and Systems . 7, 4 (Jan. 2023), 178-183. DOI:https://doi.org/10.51485/ajss.v7i4.177.

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Articles