SOTAVerified

Fault Diagnosis

Papers

Showing 2650 of 375 papers

TitleStatusHype
Integrating Expert Knowledge with Domain Adaptation for Unsupervised Fault DiagnosisCode1
Lab-scale Vibration Analysis Dataset and Baseline Methods for Machinery Fault Diagnosis with Machine LearningCode1
Logistic-ELM: A Novel Fault Diagnosis Method for Rolling BearingsCode1
AlgDiff: An open source toolbox for the design, analysis and discretisation of algebraic differentiatorsCode1
LogEval: A Comprehensive Benchmark Suite for Large Language Models In Log AnalysisCode1
BearingPGA-Net: A Lightweight and Deployable Bearing Fault Diagnosis Network via Decoupled Knowledge Distillation and FPGA AccelerationCode1
Astraea: Grammar-based Fairness TestingCode1
Filter-informed Spectral Graph Wavelet Networks for Multiscale Feature Extraction and Intelligent Fault DiagnosisCode1
Bearing Fault Diagnosis Base on Multi-scale CNN and LSTM ModelCode1
Causal Inference-Based Root Cause Analysis for Online Service Systems with Intervention RecognitionCode1
Calibrated Adaptive Teacher for Domain Adaptive Intelligent Fault DiagnosisCode1
Mixmamba-fewshot: mamba and attention mixer-based method with few-shot learning for bearing fault diagnosisCode1
SensorSCAN: Self-Supervised Learning and Deep Clustering for Fault Diagnosis in Chemical ProcessesCode1
GPLA-12: An Acoustic Signal Dataset of Gas Pipeline LeakageCode1
DeepFD: Automated Fault Diagnosis and Localization for Deep Learning ProgramsCode1
Deep Feature Selection for Anomaly Detection Based on Pretrained Network and Gaussian Discriminative AnalysisCode1
Demystifying and Extracting Fault-indicating Information from Logs for Failure DiagnosisCode1
Line zonotopes: A tool for state estimation and fault diagnosis of unbounded and descriptor systemsCode0
Lighter, Better, Faster Multi-Source Domain Adaptation with Gaussian Mixture Models and Optimal TransportCode0
Limited Data Rolling Bearing Fault Diagnosis with Few-shot LearningCode0
Graph-Structured Data Analysis of Component Failure in Autonomous Cargo Ships Based on Feature FusionCode0
An Intelligent Approach to Detecting Novel Fault Classes for Centrifugal Pumps Based on Deep CNNs and Unsupervised MethodsCode0
HSE: A plug-and-play module for unified fault diagnosis foundation modelsCode0
Explainable AI for Machine Fault Diagnosis: Understanding Features’ Contribution in Machine Learning Models for Industrial Condition MonitoringCode0
Fault Identification Enhancement with Reinforcement Learning (FIERL)Code0
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Benchmark Results

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