SOTAVerified

Fault Diagnosis

Papers

Showing 110 of 375 papers

TitleStatusHype
BearLLM: A Prior Knowledge-Enhanced Bearing Health Management Framework with Unified Vibration Signal RepresentationCode2
Multi-scale Quaternion CNN and BiGRU with Cross Self-attention Feature Fusion for Fault Diagnosis of BearingCode2
TFPred: Learning Discriminative Representations from Unlabeled Data for Few-Label Rotating Machinery Fault DiagnosisCode2
Classifier-guided neural blind deconvolution: a physics-informed denoising module for bearing fault diagnosis under heavy noiseCode2
Few-Shot Bearing Fault Diagnosis Via Ensembling Transformer-Based Model With Mahalanobis Distance Metric Learning From Multiscale FeaturesCode2
Source-free domain adaptation based on label reliability for cross-domain bearing fault diagnosisCode1
Mixmamba-fewshot: mamba and attention mixer-based method with few-shot learning for bearing fault diagnosisCode1
Explainable fault and severity classification for rolling element bearings using Kolmogorov-Arnold networksCode1
Use Digital Twins to Support Fault Diagnosis From System-level Condition-monitoring DataCode1
Demystifying and Extracting Fault-indicating Information from Logs for Failure DiagnosisCode1
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Benchmark Results

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