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Fault Detection

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Showing 151–200 of 511 papers

TitleStatusHype
One Masked Model is All You Need for Sensor Fault Detection, Isolation and Accommodation—0
Adversarial Attacks and Defenses in Fault Detection and Diagnosis: A Comprehensive Benchmark on the Tennessee Eastman ProcessCode0
Fine-Grained Engine Fault Sound Event Detection Using Multimodal Signals—0
Twin Transformer using Gated Dynamic Learnable Attention mechanism for Fault Detection and Diagnosis in the Tennessee Eastman Process—0
Fault Detection and Tolerant Control for Aero2 2D0F Two-rotor Helicopter—0
A New Random Forest Ensemble of Intuitionistic Fuzzy Decision Trees—0
Grid Monitoring with Synchro-Waveform and AI Foundation Model Technologies—0
Efficient Fault Detection and Categorization in Electrical Distribution Systems Using Hessian Locally Linear Embedding on Measurement Data—0
Time Series Analysis in Compressor-Based Machines: A Survey—0
A New Architecture for Energy Efficient Fault Detection Using Energy Harvesters—0
Scalable and reliable deep transfer learning for intelligent fault detection via multi-scale neural processes embedded with knowledge—0
KGroot: Enhancing Root Cause Analysis through Knowledge Graphs and Graph Convolutional Neural Networks—0
Anomaly Detection of Particle Orbit in Accelerator using LSTM Deep Learning Technology—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
A Systematic Mapping Study of Digital Twins for Diagnosis in Transportation—0
Design & Implementation of Automatic Machine Condition Monitoring and Maintenance System in Limited Resource Situations—0
A Review of Physics-Informed Machine Learning Methods with Applications to Condition Monitoring and Anomaly Detection—0
Generative adversarial wavelet neural operator: Application to fault detection and isolation of multivariate time series data—0
Intelligent Condition Monitoring of Industrial Plants: An Overview of Methodologies and Uncertainty Management Strategies—0
Unsupervised Learning for Fault Detection of HVAC Systems: An OPTICS -based Approach for Terminal Air Handling Units—0
Exploring Sound vs Vibration for Robust Fault Detection on Rotating MachineryCode1
Spatial-wise Dynamic Distillation for MLP-like Efficient Visual Fault Detection of Freight TrainsCode0
Acoustic Signal Analysis with Deep Neural Network for Detecting Fault Diagnosis in Industrial Machines—0
Advancements in Arc Fault Detection for Electrical Distribution Systems: A Comprehensive Review from Artificial Intelligence Perspective—0
Dynamic Fault Characteristics Evaluation in Power Grid—0
Active Foundational Models for Fault Diagnosis of Electrical Motors—0
Fault Detection in Telecom Networks using Bi-level Federated Graph Neural Networks—0
NNG-Mix: Improving Semi-supervised Anomaly Detection with Pseudo-anomaly GenerationCode1
An Improved Anomaly Detection Model for Automated Inspection of Power Line Insulators—0
Ball Mill Fault Prediction Based on Deep Convolutional Auto-Encoding Network—0
ABIGX: A Unified Framework for eXplainable Fault Detection and Classification—0
Path Analysis for Effective Fault Localization in Deep Neural NetworksCode0
FaultSeg Swin-UNETR: Transformer-Based Self-Supervised Pretraining Model for Fault Recognition—0
Zero-Knowledge Proof-based Verifiable Decentralized Machine Learning in Communication Network: A Comprehensive Survey—0
Does Your Model Think Like an Engineer? Explainable AI for Bearing Fault Detection with Deep Learning—0
A Robust Deep Learning System for Motor Bearing Fault Detection: Leveraging Multiple Learning Strategies and a Novel Double Loss Function—0
Explaining Deep Neural Networks for Bearing Fault Detection with Vibration Concepts—0
Multiscale Fusion for Abnormality Detection and Localization of Distributed Parameter Systems—0
Robust Multivariate Detection and Estimation with Fault Frequency Content Information—0
Leveraging Data-Driven Models for Accurate Analysis of Grid-Tied Smart Inverters Dynamics—0
Identifying Distribution Network Faults Using Adaptive Transition Probability—0
An Intelligent Approach to Detecting Novel Fault Classes for Centrifugal Pumps Based on Deep CNNs and Unsupervised MethodsCode0
Distributed Error-Identification and Correction using Block-Sparse Optimization—0
Physics-informed State-space Neural Networks for Transport Phenomena—0
Generative Pre-Training of Time-Series Data for Unsupervised Fault Detection in Semiconductor Manufacturing—0
Real-Time Kinematics-Based Sensor-Fault Detection for Autonomous Vehicles Using Single and Double Transport with Adaptive Numerical Differentiation—0
A study on fault diagnosis in nonlinear dynamic systems with uncertainties—0
A Comparison of Residual-based Methods on Fault Detection—0
Fault Detection and Classification using Wavelet and ANN in DFIG and TCSC Connected Transmission Line—0
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