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Fault Diagnosis

Papers

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Showing 1–50 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
LogEval: A Comprehensive Benchmark Suite for Large Language Models In Log AnalysisCode1
Root-KGD: A Novel Framework for Root Cause Diagnosis Based on Knowledge Graph and Industrial DataCode1
Modulated differentiable STFT and balanced spectrum metric for freight train wheelset bearing cross-machine transfer monitoring under speed fluctuationsCode1
DKDL-Net: A Lightweight Bearing Fault Detection Model via Decoupled Knowledge Distillation and Low-Rank Adaptation Fine-tuningCode1
PHMD: An easy data access tool for prognosis and health management datasetsCode1
Calibrated Adaptive Teacher for Domain Adaptive Intelligent Fault DiagnosisCode1
Generating HSR Bogie Vibration Signals via Pulse Voltage-Guided Conditional Diffusion ModelCode1
A class-weighted supervised contrastive learning long-tailed bearing fault diagnosis approach using quadratic neural networkCode1
AlgDiff: An open source toolbox for the design, analysis and discretisation of algebraic differentiatorsCode1
BearingPGA-Net: A Lightweight and Deployable Bearing Fault Diagnosis Network via Decoupled Knowledge Distillation and FPGA AccelerationCode1
Generic and Robust Root Cause Localization for Multi-Dimensional Data in Online Service SystemsCode1
Filter-informed Spectral Graph Wavelet Networks for Multiscale Feature Extraction and Intelligent Fault DiagnosisCode1
Similarity-Based Predictive Maintenance Framework for Rotating MachineryCode1
Lab-scale Vibration Analysis Dataset and Baseline Methods for Machinery Fault Diagnosis with Machine LearningCode1
Deep Feature Selection for Anomaly Detection Based on Pretrained Network and Gaussian Discriminative AnalysisCode1
TFN: An Interpretable Neural Network with Time-Frequency Transform Embedded for Intelligent Fault DiagnosisCode1
SensorSCAN: Self-Supervised Learning and Deep Clustering for Fault Diagnosis in Chemical ProcessesCode1
A Hybrid Method for Condition Monitoring and Fault Diagnosis of Rolling Bearings With Low System DelayCode1
Multi-Granularity Regularized Re-Balancing for Class Incremental LearningCode1
Causal Inference-Based Root Cause Analysis for Online Service Systems with Intervention RecognitionCode1
Attention-embedded Quadratic Network (Qttention) for Effective and Interpretable Bearing Fault DiagnosisCode1
DeepFD: Automated Fault Diagnosis and Localization for Deep Learning ProgramsCode1
Logistic-ELM: A Novel Fault Diagnosis Method for Rolling BearingsCode1
Interpretable Fault Diagnosis of Rolling Element Bearings with Temporal Logic Neural NetworkCode1
Integrating Expert Knowledge with Domain Adaptation for Unsupervised Fault DiagnosisCode1
GPLA-12: An Acoustic Signal Dataset of Gas Pipeline LeakageCode1
ToyADMOS2: Another dataset of miniature-machine operating sounds for anomalous sound detection under domain shift conditionsCode1
Astraea: Grammar-based Fairness TestingCode1
Bearing Fault Diagnosis Base on Multi-scale CNN and LSTM ModelCode1
Missing-Class-Robust Domain Adaptation by Unilateral Alignment for Fault DiagnosisCode1
WaveletKernelNet: An Interpretable Deep Neural Network for Industrial Intelligent DiagnosisCode1
ToyADMOS: A Dataset of Miniature-Machine Operating Sounds for Anomalous Sound DetectionCode1
Graph-Structured Data Analysis of Component Failure in Autonomous Cargo Ships Based on Feature FusionCode0
Process mining-driven modeling and simulation to enhance fault diagnosis in cyber-physical systems—0
A Comparative Analysis of Reinforcement Learning and Conventional Deep Learning Approaches for Bearing Fault Diagnosis—0
Rethinking the Role of Operating Conditions for Learning-based Multi-condition Fault Diagnosis—0
Optimized Spectral Fault Receptive Fields for Diagnosis-Informed Prognosis—0
Linguistic Ordered Weighted Averaging based deep learning pooling for fault diagnosis in a wastewater treatment plant—0
Can Hessian-Based Insights Support Fault Diagnosis in Attention-based Models?—0
LD-RPMNet: Near-Sensor Diagnosis for Railway Point Machines—0
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Benchmark Results

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