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Fault Diagnosis

Papers

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Showing 26–50 of 375 papers

TitleStatusHype
ToyADMOS: A Dataset of Miniature-Machine Operating Sounds for Anomalous Sound DetectionCode1
Attention-embedded Quadratic Network (Qttention) for Effective and Interpretable Bearing Fault DiagnosisCode1
Similarity-Based Predictive Maintenance Framework for Rotating MachineryCode1
AlgDiff: An open source toolbox for the design, analysis and discretisation of algebraic differentiatorsCode1
Mixmamba-fewshot: mamba and attention mixer-based method with few-shot learning for bearing fault diagnosisCode1
Astraea: Grammar-based Fairness TestingCode1
Bearing Fault Diagnosis Base on Multi-scale CNN and LSTM ModelCode1
BearingPGA-Net: A Lightweight and Deployable Bearing Fault Diagnosis Network via Decoupled Knowledge Distillation and FPGA AccelerationCode1
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
Root-KGD: A Novel Framework for Root Cause Diagnosis Based on Knowledge Graph and Industrial DataCode1
Demystifying and Extracting Fault-indicating Information from Logs for Failure DiagnosisCode1
DKDL-Net: A Lightweight Bearing Fault Detection Model via Decoupled Knowledge Distillation and Low-Rank Adaptation Fine-tuningCode1
A class-weighted supervised contrastive learning long-tailed bearing fault diagnosis approach using quadratic neural networkCode1
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
A lightweight network for photovoltaic cell defect detection in electroluminescence images based on neural architecture search and knowledge distillation—0
Active Foundational Models for Fault Diagnosis of Electrical Motors—0
AIOptimizer - Software performance optimisation prototype for cost minimisation—0
AI Explainability for Power Electronics: From a Lipschitz Continuity Perspective—0
A crayfish-optimized wavelet filter and its application to fault diagnosis—0
A Comparative Analysis of Reinforcement Learning and Conventional Deep Learning Approaches for Bearing Fault Diagnosis—0
AI-driven Transformer Model for Fault Prediction in Non-Linear Dynamic Automotive System—0
Acoustic Signal Analysis with Deep Neural Network for Detecting Fault Diagnosis in Industrial Machines—0
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Benchmark Results

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