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Fault Detection

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Showing 276–300 of 511 papers

TitleStatusHype
DQLAP: Deep Q-Learning Recommender Algorithm with Update Policy for a Real Steam Turbine System—0
Towards remote fault detection by analyzing communication priorities—0
Fault Prognosis in Particle Accelerator Power Electronics Using Ensemble Learning—0
A Novel Observer-Centric Approach for Detecting Faults in Islanded AC Microgrids with Uncertainties—0
Self-Supervised Masked Convolutional Transformer Block for Anomaly DetectionCode1
Fault Detection in Ball Bearings—0
Fault Signature Identification for BLDC motor Drive System -A Statistical Signal Fusion Approach—0
Learning Informative Health Indicators Through Unsupervised Contrastive Learning—0
Self-Calibrating Anomaly and Change Detection for Autonomous Inspection Robots—0
Automatic detection of faults in race walking from a smartphone camera: a comparison of an Olympic medalist and university athletesCode0
Feature Selection for Fault Detection and Prediction based on Event Log Analysis—0
SensorSCAN: Self-Supervised Learning and Deep Clustering for Fault Diagnosis in Chemical ProcessesCode1
DRAGON: Decentralized Fault Tolerance in Edge Federations—0
A Vision Transformer-Based Approach to Bearing Fault Classification via Vibration Signals—0
Machine Learning for LiDAR-Based Navigation System—0
Fisher Matrix Based Fault Detection for PMUs Data in Power Grids—0
CIPCaD-Bench: Continuous Industrial Process datasets for benchmarking Causal Discovery methodsCode1
Control theoretically explainable application of autoencoder methods to fault detection in nonlinear dynamic systems—0
Fault Detection and Classification of Aerospace Sensors using a VGG16-based Deep Neural Network—0
Explainable AI Algorithms for Vibration Data-based Fault Detection: Use Case-adadpted Methods and Critical EvaluationCode1
Vibration fault detection in wind turbines based on normal behaviour models without feature engineering—0
Augmented Imagefication: A Data-driven Fault Detection Method for Aircraft Air Data Sensors—0
Self-Supervised Contrastive Pre-Training For Time Series via Time-Frequency ConsistencyCode2
An Industry 4.0 example: real-time quality control for steel-based mass production using Machine Learning on non-invasive sensor data—0
A Lightweight NMS-free Framework for Real-time Visual Fault Detection System of Freight Trains—0
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