SOTAVerified

Fault Diagnosis

Papers

Showing 110 of 375 papers

TitleStatusHype
Few-Shot Bearing Fault Diagnosis Via Ensembling Transformer-Based Model With Mahalanobis Distance Metric Learning From Multiscale FeaturesCode2
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
AlgDiff: An open source toolbox for the design, analysis and discretisation of algebraic differentiatorsCode1
Calibrated Adaptive Teacher for Domain Adaptive Intelligent Fault DiagnosisCode1
A class-weighted supervised contrastive learning long-tailed bearing fault diagnosis approach using quadratic neural networkCode1
Bearing Fault Diagnosis Base on Multi-scale CNN and LSTM ModelCode1
Astraea: Grammar-based Fairness TestingCode1
Show:102550
← PrevPage 1 of 38Next →

Benchmark Results

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