Abstract: This study focuses on a data-driven fault detection and condition monitoring of induction motors (IM) using Machine Learning (ML) based techniques. Fault detection is typically performed ...

Abstract: This paper presents a novel data-driven technique for fault detection and localization in low-voltage distribution networks (LVDNs). The proposed method leverages smart meter (SM) ...

In the Pacific Northwest, big faults like the Cascadian subduction zone located offshore, get a lot of attention. But big faults aren't the only ones that pose significant hazards, and a new study ...