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Author

Krisdahim Kogoya

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2 papers indexed here

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Conference Aug 2026

Real-Time Fault Detection in Power Systems Using Adaptive Anomaly Detection

Anomaly detection in current and voltage data is critical to ensuring the reliability and safety of electrical systems. This research presents a comprehensive framework that combines feature extraction and machine learning to identify irregularities in time series measurements. The study evaluates five anomaly detectio...

Krisdahim Kogoya, Yu-Hao Li, Hui Liu et al. · 0 citations
Conference Aug 2026

Signal-Driven Fault Detection in Electrical Systems via Adaptive Machine Learning

Accurate and timely detection of faults in power systems is critical for ensuring operational reliability and safety. This study proposes a machine learning based fault detection framework that utilizes statistical features extracted from voltage and current time series signals. Each sample consists of one current row...

Javed Hossain, Yu-Hao Li, Hui Liu et al. · 0 citations

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