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Fault Diagnosis

Papers

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Showing 151–200 of 375 papers

TitleStatusHype
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
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
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
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
Robust Knowledge Extraction from Large Language Models using Social Choice Theory—0
POND: Multi-Source Time Series Domain Adaptation with Information-Aware Prompt Tuning—0
Fault Diagnosis and Prognosis Capabilities for Wind Turbine Hydraulic Pitch Systems—0
Time Series Diffusion Method: A Denoising Diffusion Probabilistic Model for Vibration Signal Generation—0
Acoustic Signal Analysis with Deep Neural Network for Detecting Fault Diagnosis in Industrial Machines—0
Real-Time Vibration-Based Bearing Fault Diagnosis Under Time-Varying Speed ConditionsCode0
Line zonotopes: A tool for state estimation and fault diagnosis of unbounded and descriptor systemsCode0
Active Foundational Models for Fault Diagnosis of Electrical Motors—0
Brain-Inspired Spiking Neural Networks for Industrial Fault Diagnosis: A Survey, Challenges, and Opportunities—0
TSViT: A Time Series Vision Transformer for Fault Diagnosis—0
Application of a Dense Fusion Attention Network in Fault Diagnosis of Centrifugal Fan—0
ABIGX: A Unified Framework for eXplainable Fault Detection and Classification—0
Contrastive Multi-Modal Representation Learning for Spark Plug Fault Diagnosis—0
Weighted Joint Maximum Mean Discrepancy Enabled Multi-Source-Multi-Target Unsupervised Domain Adaptation Fault Diagnosis—0
A Novel Transfer Learning Method Utilizing Acoustic and Vibration Signals for Rotating Machinery Fault Diagnosis—0
A Sparse Bayesian Learning for Diagnosis of Nonstationary and Spatially Correlated Faults with Application to Multistation Assembly Systems—0
Federated Meta-Learning for Few-Shot Fault Diagnosis with Representation Encoding—0
DDMT: Denoising Diffusion Mask Transformer Models for Multivariate Time Series Anomaly Detection—0
An improved CTGAN for data processing method of imbalanced disk failure—0
EdgeFD: An Edge-Friendly Drift-Aware Fault Diagnosis System for Industrial IoT—0
A novel asymmetrical autoencoder with a sparsifying discrete cosine Stockwell transform layer for gearbox sensor data compression—0
A Closer Look at Bearing Fault Classification Approaches—0
An Intelligent Approach to Detecting Novel Fault Classes for Centrifugal Pumps Based on Deep CNNs and Unsupervised MethodsCode0
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Benchmark Results

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