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Fault Diagnosis

Papers

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Showing 101–150 of 375 papers

TitleStatusHype
EverAdapt: Continuous Adaptation for Dynamic Machine Fault Diagnosis EnvironmentsCode0
Benchmarking deep learning models for bearing fault diagnosis using the CWRU dataset: A multi-label approach—0
Double Gradient Reversal Network for Single-Source Domain Generalization in Multi-mode Fault Diagnosis—0
COKE: Causal Discovery with Chronological Order and Expert Knowledge in High Proportion of Missing Manufacturing DataCode0
Fault Diagnosis in Power Grids with Large Language Model—0
LogEval: A Comprehensive Benchmark Suite for Large Language Models In Log AnalysisCode1
A Survey on Failure Analysis and Fault Injection in AI Systems—0
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
Physics-Informed Deep Learning and Partial Transfer Learning for Bearing Fault Diagnosis in the Presence of Highly Missing Data—0
Joint Observer Gain and Input Design for Asymptotic Active Fault Diagnosis—0
A WT-ResNet based fault diagnosis model for the urban rail train transmission system—0
DKDL-Net: A Lightweight Bearing Fault Detection Model via Decoupled Knowledge Distillation and Low-Rank Adaptation Fine-tuningCode1
Diagnostic Digital Twin for Anomaly Detection in Floating Offshore Wind Energy—0
Self-degraded contrastive domain adaptation for industrial fault diagnosis with bi-imbalanced data—0
Few-shot fault diagnosis based on multi-scale graph convolution filtering for industry—0
Data-driven Machinery Fault Detection: A Comprehensive Review—0
Multi-scale Quaternion CNN and BiGRU with Cross Self-attention Feature Fusion for Fault Diagnosis of BearingCode2
Fault Identification Enhancement with Reinforcement Learning (FIERL)Code0
TFPred: Learning Discriminative Representations from Unlabeled Data for Few-Label Rotating Machinery Fault DiagnosisCode2
Generation of Uncorrelated Residual Variables for Chemical Process Fault Diagnosis via Transfer Learning-based Input-Output Decoupled Network—0
In-situ process monitoring and adaptive quality enhancement in laser additive manufacturing: a critical review—0
Lighter, Better, Faster Multi-Source Domain Adaptation with Gaussian Mixture Models and Optimal TransportCode0
A Survey on Data-Driven Fault Diagnostic Techniques for Marine Diesel Engines—0
Classifier-guided neural blind deconvolution: a physics-informed denoising module for bearing fault diagnosis under heavy noiseCode2
A data-driven approach to UIO-based fault diagnosis—0
A new framework of sensor selection for developing a fault detection system based on data-envelopment analysis—0
TDANet: A Novel Temporal Denoise Convolutional Neural Network With Attention for Fault Diagnosis—0
Few-Shot Bearing Fault Diagnosis Via Ensembling Transformer-Based Model With Mahalanobis Distance Metric Learning From Multiscale FeaturesCode2
Rolling bearing fault diagnosis method based on generative adversarial enhanced multi-scale convolutional neural network model—0
Adversarial Attacks and Defenses in Fault Detection and Diagnosis: A Comprehensive Benchmark on the Tennessee Eastman ProcessCode0
Intelligent fault diagnosis of worm gearbox based on adaptive CNN using amended gorilla troop optimization with quantum gate mutation strategy—0
Multi-mode Fault Diagnosis Datasets of Gearbox Under Variable Working Conditions—0
An Adaptive feature mode decomposition based on a novel health indicator for bearing fault diagnosis—0
Learning to better see the unseen: Broad-Deep Mixed Anti-Forgetting Framework for Incremental Zero-Shot Fault Diagnosis—0
Fault Detection and Tolerant Control for Aero2 2D0F Two-rotor Helicopter—0
An AI-Driven Approach to Wind Turbine Bearing Fault Diagnosis from Acoustic Signals—0
Interpreting What Typical Fault Signals Look Like via Prototype-matching—0
Multi-Source Interactive Resilient Fusion Algorithm Based on RIEKF—0
A Comprehensive Survey of Belief Rule Base (BRB) Hybrid Expert system: Bridging Decision Science and Professional Services—0
KGroot: Enhancing Root Cause Analysis through Knowledge Graphs and Graph Convolutional Neural Networks—0
Integrating LLMs for Explainable Fault Diagnosis in Complex Systems—0
Review on Fault Diagnosis and Fault-Tolerant Control Scheme for Robotic Manipulators: Recent Advances in AI, Machine Learning, and Digital Twin—0
Recent Advances in Model-Based Fault Diagnosis for Lithium-Ion Batteries: A Comprehensive Review—0
Fault Diagnosis on Induction Motor using Machine Learning and Signal Processing—0
PHMD: An easy data access tool for prognosis and health management datasetsCode1
Power System Fault Diagnosis with Quantum Computing and Efficient Gate Decomposition—0
Online input design for discrimination of linear models using concave minimizationCode0
SeqNAS: Neural Architecture Search for Event Sequence ClassificationCode0
FedLED: Label-Free Equipment Fault Diagnosis with Vertical Federated Transfer Learning—0
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Benchmark Results

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