Enhancing the reliability of power grids: A YOLO based approach for insulator defect detection

Author:

Fahim FaiyazORCID,Hasan Md SabidORCID

Publisher

Elsevier BV

Reference35 articles.

1. Electrical Insulation in Power Systems;Malik,2018

2. BS EN 60383-2:1995 | 15 Nov 1995 | BSI Knowledge [Internet]. [cited 2023 Feb 1]. Available from: https://knowledge.bsigroup.com/products/insulators-for-overhead-lines-with-a-nominal-voltage-above-1000-v-insulator-strings-and-insulator-sets-for-a-c-systems-definitions-test-methods-and-acceptance-criteria?version=standard.

3. Takaya K., Ohta H., Kroumov V., Shibayama K., Nakamura M. Development of UAV System for Autonomous Power Line Inspection. In: 2019 23rd International Conference on System Theory, Control and Computing (ICSTCC). 2019. p. 762–7.

4. Visual Recognition and Fault Detection For Power Line Insulators;Oberweger,2014

5. An active contour model based on texture distribution for extracting inhomogeneous insulators from aerial images;Wu;IEEE Trans. Geosci. Remote Sens.,2014

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