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Fault Diagnosis

Papers

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Showing 301–325 of 375 papers

TitleStatusHype
Integrating Expert Knowledge with Domain Adaptation for Unsupervised Fault DiagnosisCode1
GPLA-12: An Acoustic Signal Dataset of Gas Pipeline LeakageCode1
Functional observers with linear error dynamics for discrete-time nonlinear systems, with application to fault diagnosis—0
ToyADMOS2: Another dataset of miniature-machine operating sounds for anomalous sound detection under domain shift conditionsCode1
A fault detection scheme for PV panels in large scale PV stations with complex installation conditions—0
Automatic Visual Inspection of Rare Defects: A Framework based on GP-WGAN and Enhanced Faster R-CNN—0
Applications of Artificial Intelligence, Machine Learning and related techniques for Computer Networking Systems—0
A novel time-frequency Transformer based on self-attention mechanism and its application in fault diagnosis of rolling bearings—0
Quick Learning Mechanism with Cross-Domain Adaptation for Intelligent Fault Diagnosis—0
Eigen-spectrograms: An interpretable feature space for bearing fault diagnosis based on artificial intelligence and image processing—0
Deep learning for diagnosis and classification of faults in industrial rotating machinery—0
An Explainable Artificial Intelligence Approach for Unsupervised Fault Detection and Diagnosis in Rotating Machinery—0
Process monitoring based on orthogonal locality preserving projection with maximum likelihood estimation—0
Finites elements and signal processing analysis of eccentricity and demagnetization faults in PMSM drivetrains: Approach for diagnosis—0
A Novel Semi-Supervised Data-Driven Method for Chiller Fault Diagnosis with Unlabeled Data—0
Fault diagnosis for linear heterodirectional hyperbolic ODE-PDE systems using backstepping-based trajectory planning—0
Astraea: Grammar-based Fairness TestingCode1
Data-Driven Fault Diagnosis Analysis and Open-Set Classification of Time-Series Data—0
A New Multiple Source Domain Adaptation Fault Diagnosis Method between Different Rotating Machines—0
Residual Generation Using Physically-Based Grey-Box Recurrent Neural Networks For Engine Fault Diagnosis—0
Explainable Artificial Intelligence Based Fault Diagnosis and Insight Harvesting for Steel Plates Manufacturing—0
Oversampling Adversarial Network for Class-Imbalanced Fault Diagnosis—0
Few-Shot Bearing Fault Diagnosis Based on Model-Agnostic Meta-Learning—0
Designing a lightweight 1D convolutional neural network with Bayesian optimization for wheel flat detection using carbody accelerations:—0
Bearing Fault Diagnosis Base on Multi-scale CNN and LSTM ModelCode1
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Benchmark Results

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