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Fault Diagnosis

Papers

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Showing 201–225 of 375 papers

TitleStatusHype
Multi-label Classification for Fault Diagnosis of Rotating Electrical Machines—0
Multi-mode Fault Diagnosis Datasets of Gearbox Under Variable Working Conditions—0
Multi-output Classification for Compound Fault Diagnosis in Motor under Partially Labeled Target Domain—0
Multi-output Classification Framework and Frequency Layer Normalization for Compound Fault Diagnosis in Motor—0
Multi-output Classification using a Cross-talk Architecture for Compound Fault Diagnosis of Motors in Partially Labeled Condition—0
Multi-scale Fusion Fault Diagnosis Method Based on Two-Dimensionaliztion Sequence in Complex Scenarios—0
Multi-sensor data fusion based on a generalised belief divergence measure—0
Multi-Source Interactive Resilient Fusion Algorithm Based on RIEKF—0
Network Tomography with Path-Centric Graph Neural Network—0
Neural Architecture Search For Fault Diagnosis—0
Neural-Symbolic Learning and Reasoning: A Survey and Interpretation—0
Neuromorphic AI Empowered Root Cause Analysis of Faults in Emerging Networks—0
A New Approach for Verification of Delay Coobservability of Discrete-Event Systems—0
Detection of Nonlinear Behavior in Voltage Source Converter Control in Wind Farms Based on Higher-Order Spectral Analysis—0
NonSysId: A nonlinear system identification package with improved model term selection for NARMAX models—0
Offline and Online Use of Interval and Set-Based Approaches for Control and State Estimation: A Selection of Methodological Approaches and Their Application—0
On-board Fault Diagnosis of a Laboratory Mini SR-30 Gas Turbine Engine—0
Optimized Spectral Fault Receptive Fields for Diagnosis-Informed Prognosis—0
Optimizing a Digital Twin for Fault Diagnosis in Grid Connected Inverters -- A Bayesian Approach—0
Oversampling Adversarial Network for Class-Imbalanced Fault Diagnosis—0
PCA Methods and Evidence Based Filtering for Robust Aircraft Sensor Fault Diagnosis—0
Personalized Federated Learning for Multi-task Fault Diagnosis of Rotating Machinery—0
Physics-Informed Deep Learning and Partial Transfer Learning for Bearing Fault Diagnosis in the Presence of Highly Missing Data—0
Power System Fault Diagnosis with Quantum Computing and Efficient Gate Decomposition—0
Power Transformer Fault Diagnosis with Intrinsic Time-scale Decomposition and XGBoost Classifier—0
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Benchmark Results

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