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Fault Diagnosis

Papers

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Showing 251–300 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
Synthesizing Rolling Bearing Fault Samples in New Conditions: A framework based on a modified CGAN—0
Synthetic to Real Framework based on Convolutional Multi-Head Attention and Hybrid Domain Alignment—0
System Resilience through Health Monitoring and Reconfiguration—0
T4PdM: a Deep Neural Network based on the Transformer Architecture for Fault Diagnosis of Rotating Machinery—0
TDANet: A Novel Temporal Denoise Convolutional Neural Network With Attention for Fault Diagnosis—0
Technical Language Supervision for Intelligent Fault Diagnosis in Process Industry—0
TelApart: Differentiating Network Faults from Customer-Premise Faults in Cable Broadband Networks—0
The LiU-ICE Benchmark -- An Industrial Fault Diagnosis Case Study—0
Thermal Image-based Fault Diagnosis in Induction Machines via Self-Organized Operational Neural Networks—0
The State of the Art in transformer fault diagnosis with artificial intelligence and Dissolved Gas Analysis: A Review of the Literature—0
Three-dimensional instantaneous orbit map for rotor-bearing system based on a novel multivariate complex variational mode decomposition algorithm—0
Time Series Diffusion Method: A Denoising Diffusion Probabilistic Model for Vibration Signal Generation—0
Toward Debugging Deep Reinforcement Learning Programs with RLExplorer—0
Toward End-to-End Bearing Fault Diagnosis for Industrial Scenarios with Spiking Neural Networks—0
Towards a Universal Vibration Analysis Dataset: A Framework for Transfer Learning in Predictive Maintenance and Structural Health Monitoring—0
Towards Fault Diagnosis in Induction Motor using Fractional Fourier Transform—0
Towards federated multivariate statistical process control (FedMSPC)—0
Knowledge Transfer based Evolutionary Deep Neural Network for Intelligent Fault Diagnosis—0
Transfer Learning for Fault Diagnosis of Transmission Lines—0
TSViT: A Time Series Vision Transformer for Fault Diagnosis—0
UBMF: Uncertainty-Aware Bayesian Meta-Learning Framework for Fault Diagnosis with Imbalanced Industrial Data—0
Uncertainty-Aware Artificial Intelligence for Gear Fault Diagnosis in Motor Drives—0
UniFault: A Fault Diagnosis Foundation Model from Bearing Data—0
Unsupervised Clustering for Fault Analysis in High-Voltage Power Systems Using Voltage and Current Signals—0
Vibration Fault Diagnosis in Wind Turbines based on Automated Feature Learning—0
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Benchmark Results

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