A Hybrid Two-Stage Machine Learning Pipeline for Fault Detection and Classification in Power Transmission Systems

arXiv:2608.23726 · eess.SY, cs.LG, cs.SY · Submitted 2026-08-24 · Read on arXiv

eess.SY, cs.LG, cs.SY

Submitted: 2026-08-24

Updated: 2026-08-24

Terminology

• Accuracy — 35× in this paper · explained in 1 episode
• Benchmark — 9× in this paper · explained in 2 episodes
• Feature Engineering — 9× in this paper · explained in 3 episodes
• Ablation — 7× in this paper · explained in 1 episode
• Random Forest — 7× in this paper
• Grounding — 4× in this paper · explained in 3 episodes
• Convolutional Neural Network — 3× in this paper
• Artificial Neural Network — 2× in this paper
• Core — 2× in this paper · explained in 2 episodes
• Federated Learning — 2× in this paper · explained in 14 episodes
• Two-Stage Architecture — 2× in this paper · explained in 2 episodes
• Aggregation — 1× in this paper · explained in 1 episode
• Discrete Wavelet Transform — 1× in this paper
• Ensemble Learning — 1× in this paper · explained in 2 episodes
• Feature Extraction — 1× in this paper · explained in 2 episodes
• Trace — 1× in this paper · explained in 2 episodes
• Verification — 1× in this paper · explained in 2 episodes
• Wavelet Transform — 1× in this paper · explained in 2 episodes

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