Infrared Thermography-Based Insulator Fault Classification via Unsupervised Clustering and Semi-Supervised Learning

Infrared Thermography-Based Insulator Fault Classification via Unsupervised Clustering and Semi-Supervised Learning

Power substations play a crucial role in ensuring the reliable transmission of electricity to residential and commercial establishments. This paper addresses the critical issue of insulator fault detection in electric substations, emphasizing the importance of timely identification to prevent accide...

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Bibliographic Details
Main Authors: Usman Shafique, Syed Muhammad Alam, Umar Rashid, Wahab Javed, Haris Anwaar, Malik Shah Zeb, Talha Ahmad, Uzair Imtiaz, Frederic Nzanywayingoma
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Insulator fault detection
thermal imaging system
insulator health monitoring
support vector machine (SVM)
infrared thermography (IRT) images
Online Access:https://ieeexplore.ieee.org/document/10538282/
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