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Fault Detection

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Showing 26–50 of 511 papers

TitleStatusHype
EPSILON: Adaptive Fault Mitigation in Approximate Deep Neural Network using Statistical Signatures—0
DConAD: A Differencing-based Contrastive Representation Learning Framework for Time Series Anomaly DetectionCode0
Equi-Euler GraphNet: An Equivariant, Temporal-Dynamics Informed Graph Neural Network for Dual Force and Trajectory Prediction in Multi-Body Systems—0
Correcting Domain Shifts in Electric Motor Vibration Data for Unseen Operating Conditions—0
Modelling & Steady State Compliance Testing of an Improved Time Synchronized Phasor Measurement Unit Based on IEEE Standard C37.118.1—0
Simultaneous Input and State Estimation under Output Quantization: A Gaussian Mixture approach—0
NAPER: Fault Protection for Real-Time Resource-Constrained Deep Neural Networks—0
A Robust Method for Fault Detection and Severity Estimation in Mechanical Vibration Data—0
Fault injection analysis of Real NVP normalising flow model for satellite anomaly detection—0
Online Fault Detection and Classification of Chemical Process Systems Leveraging Statistical Process Control and Riemannian Geometric Analysis—0
UniFault: A Fault Diagnosis Foundation Model from Bearing Data—0
A YOLO-Based Semi-Automated Labeling Approach to Improve Fault Detection Efficiency in Railroad Videos—0
PNN: A Novel Progressive Neural Network for Fault Classification in Rotating Machinery under Small Dataset Constraint—0
Enhancing Fault Detection in CO2 Refrigeration Systems: Optimal Sensor Selection and Robustness Analysis Using Tree-Based Machine Learning—0
Enhancing Fault Detection and Isolation in an All-Electric Auxiliary Power Unit (APU) Gas Generator by Utilizing Starter/Generator Signal—0
Defect Analysis and Built-In-Self-Test for Chiplet Interconnects in Fan-out Wafer-Level Packaging—0
Identification of High Impedance Faults Utilizing Recurrence Plots—0
AI and Semantic Communication for Infrastructure Monitoring in 6G-Driven Drone Swarms—0
A Novel Topology Recovery Method for Low Voltage Distribution Networks—0
Sparse Hyperparametric Itakura-Saito NMF via Bi-Level Optimization—0
Multimodal Bearing Fault Classification Under Variable Conditions: A 1D CNN with Transfer Learning—0
Unsupervised Anomaly Detection through Mass Repulsing Optimal TransportCode0
A method for signal components identification in acoustic signal with non-Gaussian background noise using clustering of data in time-frequency domain—0
Advancing machine fault diagnosis: A detailed examination of convolutional neural networks—0
Integrating Physics and Data-Driven Approaches: An Explainable and Uncertainty-Aware Hybrid Model for Wind Turbine Power PredictionCode1
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