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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 ...

Introduction: With the increase of human travel, aviation activities become more frequent, and flight safety gains more attention. Faults in aircraft engine turbine blades seriously threaten flight ...

A team of scientists in the United States has combined both spatial and temporal attention mechanisms to develop a new approach for PV inverter fault detection. Training the new method on a dataset ...

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 ...

When talking about smart building technologies in commercial real estate, energy efficiency is usually the main point. It’s clear that lowering electricity rates is a good thing, but it’s not the ...

Abstract: This article presents the design and implementation of a built-in fault detection technique for an active phased array antenna. The proposed method employs a current monitoring circuit ...

The adoption of photovoltaic (PV) systems in modern electrical grids has expanded rapidly due to their economic and environmental benefits. However, these systems are prone to faults—such as partial ...

Guangdong Key Laboratory of Electric Power Equipment Reliability, Electric Power Research Institute of Guangdong Power Grid Co., Ltd., Guangzhou, China As global consumption of fossil fuels increases, ...

Abstract: In recent years, fault detection addresses high-impedance faults in transmission lines which is crucial for creating reliability and safety in distributed system. The improvements in power ...