SOTAVerified

Fault Diagnosis

Papers

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Showing 251–275 of 375 papers

TitleStatusHype
Review on Fault Diagnosis and Fault-Tolerant Control Scheme for Robotic Manipulators: Recent Advances in AI, Machine Learning, and Digital Twin—0
Robust and Efficient Fault Diagnosis of mm-Wave Active Phased Arrays using Baseband Signal—0
Robust Knowledge Extraction from Large Language Models using Social Choice Theory—0
Robust Unsupervised Fault Diagnosis For High-Dimensional Nonlinear Noisy Data—0
Rolling bearing fault diagnosis method based on generative adversarial enhanced multi-scale convolutional neural network model—0
SCCAM: Supervised Contrastive Convolutional Attention Mechanism for Ante-hoc Interpretable Fault Diagnosis with Limited Fault Samples—0
SCLIFD:Supervised Contrastive Knowledge Distillation for Incremental Fault Diagnosis under Limited Fault Data—0
Searching Neural Architectures for Sensor Nodes on IoT Gateways—0
Self-degraded contrastive domain adaptation for industrial fault diagnosis with bi-imbalanced data—0
Semi-Supervised Co-Training of Time and Time-Frequency Models: Application to Bearing Fault Diagnosis—0
Semi-Supervised Learning of Bearing Anomaly Detection via Deep Variational Autoencoders—0
Sensor Placement for Online Fault Diagnosis—0
Set-based state estimation and fault diagnosis using constrained zonotopes and applications—0
Simulation-to-reality UAV Fault Diagnosis with Deep Learning—0
Smart filter aided domain adversarial neural network for fault diagnosis in noisy industrial scenarios—0
Software implemented fault diagnosis of natural gas pumping unit based on feedforward neural network—0
Sparse Spectrahedral Shadows for State Estimation and Reachability Analysis: Set Operations, Validations and Order Reductions—0
Spatial Graph Convolutional Neural Network via Structured Subdomain Adaptation and Domain Adversarial Learning for Bearing Fault Diagnosis—0
Spatial-Temporal Bearing Fault Detection Using Graph Attention Networks and LSTM—0
Non-destructive Fault Diagnosis of Electronic Interconnects by Learning Signal Patterns of Reflection Coefficient in the Frequency Domain—0
SRTFD: Scalable Real-Time Fault Diagnosis through Online Continual Learning—0
SubstationAI: Multimodal Large Model-Based Approaches for Analyzing Substation Equipment Faults—0
Supervised Transfer Learning Framework for Fault Diagnosis in Wind Turbines—0
Survey of modern Fault Diagnosis methods in networks—0
Synchro-Transient-Extracting Transform for the Analysis of Signals with Both Harmonic and Impulsive Components—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DANNAccuray80.22—Unverified
2LSTMAccuray61.56—Unverified