#7292. Machine learning applications in power system fault diagnosis: Research advancements and perspectives

September 2026publication date
Proposal available till 12-05-2025
4 total number of authors per manuscript0 $

The title of the journal is available only for the authors who have already paid for
Journal’s subject area:
Control and Systems Engineering;
Electrical and Electronic Engineering;
Artificial Intelligence;
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Abstract:
Newer generation sources and loads are posing new challenges to the conventional power system protection schemes. Adaptive and intelligent protection methodology, based on advanced measurement techniques and intelligent fault diagnosis such as machine learning, is found to be useful to meet these challenges. Given this need and growing trend towards machine learning, the study presented in this paper aims to provide a comprehensive review of machine learning-based power system fault diagnosis. A brief review of reinforcement learning and transfer learning is given as they are gaining popularity in power system-related studies and have the potential to be used for fault diagnosis.
Keywords:
Machine learning (ML); Reinforcement learning; Supervised learning; Transfer learning; Unsupervised learning

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