SOTAVerified

Fault Diagnosis

Papers

Showing 125 of 375 papers

TitleStatusHype
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
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
Classifier-guided neural blind deconvolution: a physics-informed denoising module for bearing fault diagnosis under heavy noiseCode2
Interpretable Fault Diagnosis of Rolling Element Bearings with Temporal Logic Neural NetworkCode1
Generic and Robust Root Cause Localization for Multi-Dimensional Data in Online Service SystemsCode1
Modulated differentiable STFT and balanced spectrum metric for freight train wheelset bearing cross-machine transfer monitoring under speed fluctuationsCode1
Deep Feature Selection for Anomaly Detection Based on Pretrained Network and Gaussian Discriminative AnalysisCode1
Causal Inference-Based Root Cause Analysis for Online Service Systems with Intervention RecognitionCode1
Filter-informed Spectral Graph Wavelet Networks for Multiscale Feature Extraction and Intelligent Fault DiagnosisCode1
Generating HSR Bogie Vibration Signals via Pulse Voltage-Guided Conditional Diffusion ModelCode1
GPLA-12: An Acoustic Signal Dataset of Gas Pipeline LeakageCode1
Integrating Expert Knowledge with Domain Adaptation for Unsupervised Fault DiagnosisCode1
Demystifying and Extracting Fault-indicating Information from Logs for Failure DiagnosisCode1
Bearing Fault Diagnosis Base on Multi-scale CNN and LSTM ModelCode1
Attention-embedded Quadratic Network (Qttention) for Effective and Interpretable Bearing Fault DiagnosisCode1
BearingPGA-Net: A Lightweight and Deployable Bearing Fault Diagnosis Network via Decoupled Knowledge Distillation and FPGA AccelerationCode1
A class-weighted supervised contrastive learning long-tailed bearing fault diagnosis approach using quadratic neural networkCode1
Calibrated Adaptive Teacher for Domain Adaptive Intelligent Fault DiagnosisCode1
AlgDiff: An open source toolbox for the design, analysis and discretisation of algebraic differentiatorsCode1
DeepFD: Automated Fault Diagnosis and Localization for Deep Learning ProgramsCode1
Explainable fault and severity classification for rolling element bearings using Kolmogorov-Arnold networksCode1
A Hybrid Method for Condition Monitoring and Fault Diagnosis of Rolling Bearings With Low System DelayCode1
Astraea: Grammar-based Fairness TestingCode1
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Benchmark Results

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