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Fault Detection

Papers

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Showing 351–375 of 511 papers

TitleStatusHype
Interturn Fault Detection in IPMSMs: Two Adaptive Observer-based Solutions—0
On the optimality of Kalman Filter for Fault Detection—0
Joint System Modeling Approach for Fault Simulation of Start-er/Generator and Gas Generator in All-Electric APU—0
KGroot: Enhancing Root Cause Analysis through Knowledge Graphs and Graph Convolutional Neural Networks—0
Real-Time Kinematics-Based Sensor-Fault Detection for Autonomous Vehicles Using Single and Double Transport with Adaptive Numerical Differentiation—0
KKL Observer Synthesis for Nonlinear Systems via Physics-Informed Learning—0
Implicit supervision for fault detection and segmentation of emerging fault types with Deep Variational Autoencoders—0
Labelling Drifts in a Fault Detection System for Wind Turbine Maintenance—0
Learnable Faster Kernel-PCA for Nonlinear Fault Detection: Deep Autoencoder-Based Realization—0
Learning a Factorized Orthogonal Latent Space using Encoder-only Architecture for Fault Detection; An Alarm management perspective—0
Learning Controlled Stochastic Differential Equations—0
Learning Sparse Privacy-Preserving Representations for Smart Meters Data—0
Leveraging Data-Driven Models for Accurate Analysis of Grid-Tied Smart Inverters Dynamics—0
Machine-learned Adversarial Attacks against Fault Prediction Systems in Smart Electrical Grids—0
Machine Learning-based Anomaly Detection in Optical Fiber Monitoring—0
Machine Learning based Laser Failure Mode Detection—0
Machine Learning-Based Protection and Fault Identification of 100% Inverter-Based Microgrids—0
Machine Learning for LiDAR-Based Navigation System—0
Machine Learning for UAV Propeller Fault Detection based on a Hybrid Data Generation Model—0
Machine Learning in Short-Reach Optical Systems: A Comprehensive Survey—0
Machine Learning Techniques for Software Quality Assurance: A Survey—0
H_2/H_- Distributed Fault Detection and Isolation for Heterogeneous Multi-Agent Systems—0
Measurement-based Condition Monitoring of Railway Signaling Cables—0
Meta-GCN: A Dynamically Weighted Loss Minimization Method for Dealing with the Data Imbalance in Graph Neural Networks—0
Meta-Learning Based Early Fault Detection for Rolling Bearings via Few-Shot Anomaly Detection—0
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