Abstract: Real-time fault detection and classification are important for power system stability and resilience of the power grid to minimize downtime and prevent cascading failures. Numerical relays ...
AWARE uses waveform signatures to detect and classify early-stage grid faults, enabling proactive intervention. The system combines physics-based models with AI/ML to interpret subtle electrical ...
Credit: NASA HUNTSVILLE, Alabama—NASA sees its work on rotating detonation rocket engine (RDRE) technology as one of several areas for the agency to contribute to the future Golden Dome for America ...
Researchers in China have created a dataset of various PV faults and normalized it to accommodate different array sizes and typologies. After testing the new approach in combination with the 1D-CNN ...
With unpredictable monsoon patterns challenging traditional farming, a new report suggests Bhutan must fundamentally rethink its irrigation methods, advocating for solar-powered solutions to ...
Abstract: This article addresses the challenge of diagnosing open-circuit faults in power devices within three-level neutral point clamped (NPC) converters. An enhanced 1-D convolutional neural ...
Parkinson’s disease (PD) is the second most common neurodegenerative disorder, after Alzheimer’s. Clinicians often use the mnemonic TRAP to recall its four key motor symptoms: tremor, rigidity, ...
This repository contains an Intelligent Fault Detection (IFD) System to detect motor bearing faults in industrial machinery. Uses a 1D-CNN to achieve end-to-end classification from raw vibration ...
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