Enhancing reliability in electrical grids: A hybrid machine learning approach for electrical faults classification.

ABSTRACT: Transmission lines are vital components of electrical grids, ensuring the efficient transfer of electricity from power plants to consumers over extensive geographical areas. These lines are constructed with careful consideration of factors such as conductor materials, insulation levels, current ratings, and voltage ratings to maintain reliable and safe electricity delivery. However, various types of faults can occur in transmission lines, posing significant challenges, often leading to outages, equipment damage, and reduced system reliability. Accurate and fast fault classification is therefore a pressing requirement in modern smart grids, where proactive maintenance and resilience are critical. This research addresses the critical need for an efficient electric fault classification model.

SUBMITTER: Begum M 

PROVIDER: S-EPMC12904571 | biostudies-literature | 2026

REPOSITORIES: biostudies-literature