SOTAVerified

Fault Diagnosis

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 301–310 of 375 papers

TitleStatusHype
Structural Vibration Signal Denoising Using Stacking Ensemble of Hybrid CNN-RNN—0
VSLLaVA: a pipeline of large multimodal foundation model for industrial vibration signal analysis—0
Wasserstein Distance based Deep Adversarial Transfer Learning for Intelligent Fault Diagnosis—0
Weighted Joint Maximum Mean Discrepancy Enabled Multi-Source-Multi-Target Unsupervised Domain Adaptation Fault Diagnosis—0
Learning to better see the unseen: Broad-Deep Mixed Anti-Forgetting Framework for Incremental Zero-Shot Fault Diagnosis—0
ABIGX: A Unified Framework for eXplainable Fault Detection and Classification—0
A BiLSTM-CNN based Multitask Learning Approach for Fiber Fault Diagnosis—0
A class alignment method based on graph convolution neural network for bearing fault diagnosis in presence of missing data and changing working conditions—0
A Closer Look at Bearing Fault Classification Approaches—0
A Comparative Analysis of Reinforcement Learning and Conventional Deep Learning Approaches for Bearing Fault Diagnosis—0
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Benchmark Results

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