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Fault Detection

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Showing 101–150 of 511 papers

TitleStatusHype
Statistical Batch-Based Bearing Fault Detection—0
Wideband Relative Transfer Function (RTF) Estimation Exploiting Frequency CorrelationsCode0
Seismic Fault SAM: Adapting SAM with Lightweight Modules and 2.5D Strategy for Fault Detection—0
A Two-Stage Machine Learning-Aided Approach for Quench Identification at the European XFEL—0
Comparison of Optimizers for Fault Isolation and Diagnostics of Control Rod Drives—0
A Predictive Model Based on Transformer with Statistical Feature Embedding in Manufacturing Sensor Dataset—0
Unsupervised Fault Detection using SAM with a Moving Window Approach—0
A Self-Supervised Task for Fault Detection in Satellite Multivariate Time Series—0
Infrared Computer Vision for Utility-Scale Photovoltaic Array Inspection—0
Condition monitoring of wind turbine blades via learning-based methods—0
Gaussian process-based online health monitoring and fault analysis of lithium-ion battery systems from field dataCode1
Meta-GCN: A Dynamically Weighted Loss Minimization Method for Dealing with the Data Imbalance in Graph Neural Networks—0
Testing Topological Data Analysis for Condition Monitoring of Wind Turbines—0
Fault Detection for agents on power grid topology optimization: A Comprehensive analysis—0
Fault detection in propulsion motors in the presence of concept drift—0
DKDL-Net: A Lightweight Bearing Fault Detection Model via Decoupled Knowledge Distillation and Low-Rank Adaptation Fine-tuningCode1
Continuous Test-time Domain Adaptation for Efficient Fault Detection under Evolving Operating Conditions—0
SpikeMM: Flexi-Magnification of High-Speed Micro-Motions—0
Data-driven Machinery Fault Detection: A Comprehensive Review—0
Differential Voltage Analysis and Patterns in Parallel-Connected Pairs of Imbalanced Cells—0
Efficient Visual Fault Detection for Freight Train via Neural Architecture Search with Data Volume Robustness—0
Physics-Informed Real NVP for Satellite Power System Fault Detection—0
USD: Unsupervised Soft Contrastive Learning for Fault Detection in Multivariate Time SeriesCode1
Multi-scale Quaternion CNN and BiGRU with Cross Self-attention Feature Fusion for Fault Diagnosis of BearingCode2
Pattern-Based Time-Series Risk Scoring for Anomaly Detection and Alert Filtering -- A Predictive Maintenance Case Study—0
An Active Learning Framework with a Class Balancing Strategy for Time Series Classification—0
DeepHYDRA: Resource-Efficient Time-Series Anomaly Detection in Dynamically-Configured SystemsCode0
Machine Learning-Based Protection and Fault Identification of 100% Inverter-Based Microgrids—0
Fault Identification Enhancement with Reinforcement Learning (FIERL)Code0
Fault Detection and Monitoring using a Data-Driven Information-Based Strategy: Method, Theory, and Application—0
Machine Learning in Short-Reach Optical Systems: A Comprehensive Survey—0
Closed-Loop Sensitivity Identification for Cross-Directional Systems—0
A probabilistic estimation of remaining useful life from censored time-to-event dataCode1
Three-layer deep learning network random trees for fault detection in chemical production process—0
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
Generalised envelope spectrum-based signal-to-noise objectives: Formulation, optimisation and application for gear fault detection under time-varying speed conditionsCode0
Dynamic fault detection and diagnosis for alkaline water electrolyzer with variational Bayesian Sparse principal component analysis—0
Autoencoder-assisted Feature Ensemble Net for Incipient Faults—0
Explainable Artificial Intelligence Techniques for Accurate Fault Detection and Diagnosis: A Review—0
CARE to Compare: A real-world dataset for anomaly detection in wind turbine data—0
Dynamic fault detection and diagnosis of industrial alkaline water electrolyzer process with variational Bayesian dictionary learning—0
Evaluation and Improvement of Fault Detection for Large Language Models—0
Fault Detection in Mobile Networks Using Diffusion Models—0
High Significant Fault Detection in Azure Core Workload Insights—0
Condition Monitoring with Incomplete Data: An Integrated Variational Autoencoder and Distance Metric Framework—0
A new framework of sensor selection for developing a fault detection system based on data-envelopment analysis—0
Driving Intelligent IoT Monitoring and Control through Cloud Computing and Machine Learning—0
Image-based Novel Fault Detection with Deep Learning Classifiers using Hierarchical Labels—0
Runtime Monitoring and Fault Detection for Neural Network-Controlled Systems—0
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