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Conference Aug 2026

Time-Series vs. Statistical Methods for Small Current Fault Detection: A Comparative Review of Accuracy and Efficiency

Small current grounding faults pose persistent challenges in power systems due to their low-magnitude signatures and the complexity of timely, accurate detection. While deep learning methods have recently gained attention, traditional time-series and statistical techniques remain foundational in industrial applications...

Eric Obeng Akese Danso, Rathnayaka Pathiranage Ravindi Kawushini, Tchepseu Pateng Uriche Cabrel et al. · 0 citations
Conference Aug 2026

Fault Detection in Power Systems Using Convolutional Neural Networks: A Review of Voltage and Current Data Visualization Techniques

Fault detection in power systems is critical for ensuring reliability, safety, and operational efficiency. Recent advancements in deep learning, particularly Convolutional Neural Networks (CNNs), have revolutionized fault detection by leveraging voltage and current data visualization. This review paper synthesizes find...

Javed Hossain, Taharimul Islam, Hui Liu et al. · 0 citations

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