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Fault Detection

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Showing 251–300 of 511 papers

TitleStatusHype
Soft Sensing Regression Model: from Sensor to Wafer Metrology Forecasting—0
High-Impedance Non-Linear Fault Detection via Eigenvalue Analysis with low PMU Sampling Rates—0
Imbalanced Classification In Faulty Turbine Data: New Proximal Policy Optimization—0
Unsupervised High Impedance Fault Detection Using Autoencoder and Principal Component Analysis—0
Object detection-based inspection of power line insulators: Incipient fault detection in the low data-regime—0
High Impedance Fault Detection Through Quasi-Static State Estimation: A Parameter Error Modeling Approach—0
Zero-Shot Motor Health Monitoring by Blind Domain TransitionCode1
Towards Fleet-wide Sharing of Wind Turbine Condition Information through Privacy-preserving Federated Learning—0
Optimizing a Digital Twin for Fault Diagnosis in Grid Connected Inverters -- A Bayesian Approach—0
DeepFT: Fault-Tolerant Edge Computing using a Self-Supervised Deep Surrogate Model—0
Visual Fault Detection of Multi-scale Key Components in Freight Trains—0
Detecting broken Absorber Tubes in CSP plants using intelligent sampling and dual loss—0
PreMa: Predictive Maintenance of Solenoid Valve in Real-Time at Embedded Edge-Level—0
Circuit Design for Predictive Maintenance—0
Bayesian Integrity Monitoring for Cellular Positioning -- A Simplified Case Study—0
A Random Forest and Current Fault Texture Feature-Based Method for Current Sensor Fault Diagnosis in Three-Phase PWM VSR—0
1-D Convolutional Graph Convolutional Networks for Fault Detection in Distributed Energy Systems—0
Cutting Through the Noise: An Empirical Comparison of Psychoacoustic and Envelope-based Features for Machinery Fault Detection—0
Towards federated multivariate statistical process control (FedMSPC)—0
Monitoring and Detection of Low-current High-Impedance Faults in Distribution Networks—0
Spatial-Temporal Recurrent Graph Neural Networks for Fault Diagnostics in Power Distribution Systems—0
Data-Driven Quickest Change Detection in (Hidden) Markov Models—0
Deep Scattering Spectrum germaneness to Fault Detection and Diagnosis for Component-level Prognostics and Health Management (PHM)—0
A Fault Detection Scheme Utilizing Convolutional Neural Network for PV Solar Panels with High Accuracy—0
Quantifying Quality of Class-Conditional Generative Models in Time-Series Domain—0
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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