Open access
Aug 2026
High Voltage Circuit Breaker Fault Detection Using Vibration and Acoustic Signals Analysis and Machine Learning
Comparative results demonstrate that FFT-based feature extraction combined with Random Projection (RP) provides the most effective feature representation, while the proposed NATS classifier achieves binary classification accuracies exceeding 92% across all operating scenarios.
S. Udomsuk, Rangsarit Vanijirattikhan, S. Khomsay et al.
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