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Fault Diagnosis

Papers

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Showing 26–50 of 375 papers

TitleStatusHype
Fault Diagnosis in New Wind Turbines using Knowledge from Existing Turbines by Generative Domain Adaptation—0
Towards a Universal Vibration Analysis Dataset: A Framework for Transfer Learning in Predictive Maintenance and Structural Health Monitoring—0
Multi-output Classification Framework and Frequency Layer Normalization for Compound Fault Diagnosis in Motor—0
Ensemble-Enhanced Graph Autoencoder with GAT and Transformer-Based Encoders for Robust Fault Diagnosis—0
Boosting-inspired online learning with transfer for railway maintenance—0
Compound Fault Diagnosis for Train Transmission Systems Using Deep Learning with Fourier-enhanced RepresentationCode0
ZETA: a library for Zonotope-based EsTimation and fAult diagnosis of discrete-time systemsCode0
Attention-Based Multiscale Temporal Fusion Network for Uncertain-Mode Fault Diagnosis in Multimode ProcessesCode0
UniFault: A Fault Diagnosis Foundation Model from Bearing Data—0
An End-to-End Comprehensive Gear Fault Diagnosis Method Based on Multi-Scale Feature-Level Fusion Strategy—0
Bearing fault diagnosis based on multi-scale spectral images and convolutional neural network—0
Dynamic Power Flow Analysis and Fault Characteristics: A Graph Attention Neural Network—0
Enhancing Fault Detection and Isolation in an All-Electric Auxiliary Power Unit (APU) Gas Generator by Utilizing Starter/Generator Signal—0
Multi-output Classification for Compound Fault Diagnosis in Motor under Partially Labeled Target Domain—0
UBMF: Uncertainty-Aware Bayesian Meta-Learning Framework for Fault Diagnosis with Imbalanced Industrial Data—0
Semi-Supervised Co-Training of Time and Time-Frequency Models: Application to Bearing Fault Diagnosis—0
Source-free domain adaptation based on label reliability for cross-domain bearing fault diagnosisCode1
Robust Unsupervised Fault Diagnosis For High-Dimensional Nonlinear Noisy Data—0
Fault Localization and State Estimation of Power Grid under Parallel Cyber-Physical Attacks—0
Efficient Fault Diagnosis in Lithium-Ion Battery Packs: A Structural Approach with Moving Horizon Estimation—0
Mixmamba-fewshot: mamba and attention mixer-based method with few-shot learning for bearing fault diagnosisCode1
Sparse Spectrahedral Shadows for State Estimation and Reachability Analysis: Set Operations, Validations and Order Reductions—0
Software implemented fault diagnosis of natural gas pumping unit based on feedforward neural network—0
Network Tomography with Path-Centric Graph Neural Network—0
Deep Subspace Learning for Surface Anomaly Classification Based on 3D Point Cloud Data—0
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Benchmark Results

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