SOTAVerified

Fault Diagnosis

Papers

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Showing 91–100 of 375 papers

TitleStatusHype
Acoustic Signal Analysis with Deep Neural Network for Detecting Fault Diagnosis in Industrial Machines—0
An interpretable deep learning method for bearing fault diagnosis—0
An Intelligent Gearbox Fault Diagnosis under Different Operating Conditions using Adversarial Domain Adaptation—0
A Heterogeneous Graph-Based Multi-Task Learning for Fault Event Diagnosis in Smart Grid—0
Causal Disentanglement Hidden Markov Model for Fault Diagnosis—0
Canonical Correlation Guided Deep Neural Network—0
An Improved Fault Diagnosis Strategy for Induction Motors Using Weighted Probability Ensemble Deep Learning—0
A Federated Distributionally Robust Support Vector Machine with Mixture of Wasserstein Balls Ambiguity Set for Distributed Fault Diagnosis—0
A Cost-Sensitive Deep Belief Network for Imbalanced Classification—0
A Closer Look at Bearing Fault Classification Approaches—0
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Benchmark Results

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