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Fault Diagnosis

Papers

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Showing 276–300 of 375 papers

TitleStatusHype
Integrated Fault Diagnosis and Control Design for DER Inverters using Machine Learning Methods—0
A BiLSTM-CNN based Multitask Learning Approach for Fiber Fault Diagnosis—0
An alternative paradigm of fault diagnosis in dynamic systems: orthogonal projection-based methods—0
Fault Detection and Diagnosis with Imbalanced and Noisy Data: A Hybrid Framework for Rotating Machinery—0
Vibration Fault Diagnosis in Wind Turbines based on Automated Feature Learning—0
Transfer Learning for Fault Diagnosis of Transmission Lines—0
Cross-Domain Open-Set Machinery Fault Diagnosis Based on Adversarial Network With Multiple Auxiliary Classifiers—0
Technical Language Supervision for Intelligent Fault Diagnosis in Process Industry—0
Spatial Graph Convolutional Neural Network via Structured Subdomain Adaptation and Domain Adversarial Learning for Bearing Fault Diagnosis—0
A Novel Deep Parallel Time-series Relation Network for Fault Diagnosis—0
Graph neural network-based fault diagnosis: a review—0
Fault Diagnosis of Nonlinear Systems Using a Hybrid-Degree Dual Cubature-based Estimation Scheme—0
Guided Sampling-based Evolutionary Deep Neural Network for Intelligent Fault Diagnosis—0
Power Transformer Fault Diagnosis with Intrinsic Time-scale Decomposition and XGBoost Classifier—0
Artificial Neural Network and Its Application Research Progress in Chemical Process—0
On-board Fault Diagnosis of a Laboratory Mini SR-30 Gas Turbine Engine—0
An Uncertainty-Informed Framework for Trustworthy Fault Diagnosis in Safety-Critical Applications—0
An Efficient Anomaly Detection Approach using Cube Sampling with Streaming Data—0
A New Approach for Verification of Delay Coobservability of Discrete-Event Systems—0
Early Bearing Fault Diagnosis of Rotating Machinery by 1D Self-Organized Operational Neural Networks—0
Knowledge Transfer based Evolutionary Deep Neural Network for Intelligent Fault Diagnosis—0
A multi-stage semi-supervised improved deep embedded clustering method for bearing fault diagnosis under the situation of insufficient labeled samples—0
Probabilistic Bearing Fault Diagnosis Using Gaussian Process with Tailored Feature Extraction—0
Three-dimensional instantaneous orbit map for rotor-bearing system based on a novel multivariate complex variational mode decomposition algorithm—0
Deep Metric Learning Model for Imbalanced Fault Diagnosis—0
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Benchmark Results

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