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Fault Detection

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Showing 101–150 of 511 papers

TitleStatusHype
AI based Log Analyser: A Practical Approach—0
Bearing Fault Diagnosis using Graph Sampling and Aggregation Network—0
Bearings Fault Detection Using Hidden Markov Models and Principal Component Analysis Enhanced Features—0
Anomaly Detection And Classification In Time Series With Kervolutional Neural Networks—0
Beta Residuals: Improving Fault-Tolerant Control for Sensory Faults via Bayesian Inference and Precision Learning—0
An Improved Anomaly Detection Model for Automated Inspection of Power Line Insulators—0
Calibration and Uncertainty Quantification of Bayesian Convolutional Neural Networks for Geophysical Applications—0
Call Detail Records Driven Anomaly Detection and Traffic Prediction in Mobile Cellular Networks—0
DeepFT: Fault-Tolerant Edge Computing using a Self-Supervised Deep Surrogate Model—0
Canonical Variate Dissimilarity Analysis for Process Incipient Fault Detection—0
CARE to Compare: A real-world dataset for anomaly detection in wind turbine data—0
Causality and Temporal Dependencies in the Design of Fault Management Systems—0
Causal Mechanism Transfer Network for Time Series Domain Adaptation in Mechanical Systems—0
A Systematic Mapping Study of Digital Twins for Diagnosis in Transportation—0
Circuit Design for Predictive Maintenance—0
Classifier-Free Diffusion-Based Weakly-Supervised Approach for Health Indicator Derivation in Rotating Machines: Advancing Early Fault Detection and Condition Monitoring—0
Closed-Loop Sensitivity Identification for Cross-Directional Systems—0
Cloud-Based AI Systems: Leveraging Large Language Models for Intelligent Fault Detection and Autonomous Self-Healing—0
Clustering evolving data using kernel-based methods—0
CNN-DST: ensemble deep learning based on Dempster-Shafer theory for vibration-based fault recognition—0
Distributed Error-Identification and Correction using Block-Sparse Optimization—0
A method for signal components identification in acoustic signal with non-Gaussian background noise using clustering of data in time-frequency domain—0
Comparison of Optimizers for Fault Isolation and Diagnostics of Control Rod Drives—0
Computational framework for real-time diagnostics and prognostics of aircraft actuation systems—0
Computer Vision Toolkit for Non-invasive Monitoring of Factory Floor Artifacts—0
A Plausibility-based Fault Detection Method for High-level Fusion Perception Systems—0
A Survey on Machine Learning Applied to Dynamic Physical Systems—0
An ensemble of convolution-based methods for fault detection using vibration signals—0
A study on fault diagnosis in nonlinear dynamic systems with uncertainties—0
A Self-Supervised Task for Fault Detection in Satellite Multivariate Time Series—0
An Edge AI System Based on FPGA Platform for Railway Fault Detection—0
A Graph-based Framework for Complex System Simulating and Diagnosis with Automatic Reconfiguration—0
A Robust Method for Fault Detection and Severity Estimation in Mechanical Vibration Data—0
An Early Fault Detection Method of Rotating Machines Based on Multiple Feature Fusion with Stacking Architecture—0
Active Foundational Models for Fault Diagnosis of Electrical Motors—0
A Natural Language Processing and Deep Learning based Model for Automated Vehicle Diagnostics using Free-Text Customer Service Reports—0
A Review of Deep Learning with Special Emphasis on Architectures, Applications and Recent Trends—0
CASU2Net: Cascaded Unification Network by a Two-step Early Fusion for Fault Detection in Offshore Wind Turbines—0
Deep Compression of Neural Networks for Fault Detection on Tennessee Eastman Chemical Processes—0
Deep Convolutional Autoencoder for Assessment of Drive-Cycle Anomalies in Connected Vehicle Sensor Data—0
Data-driven Machinery Fault Detection: A Comprehensive Review—0
Data-Driven Machine Learning Techniques for Self-healing in Cellular Wireless Networks: Challenges and Solutions—0
Data-driven Protection of Transformers, Phase Angle Regulators, and Transmission Lines in Interconnected Power Systems—0
Data-Driven Quickest Change Detection in (Hidden) Markov Models—0
Data-driven Residual Generation for Early Fault Detection with Limited Data—0
A review of ontologies for smart and continuous commissioning—0
Data-Folding and Hyperspace Coding for Multi-Dimensonal Time-Series Data Imaging—0
A Review of Physics-Informed Machine Learning Methods with Applications to Condition Monitoring and Anomaly Detection—0
Deep Cellular Recurrent Network for Efficient Analysis of Time-Series Data with Spatial Information—0
Are GNNs Actually Effective for Multimodal Fault Diagnosis in Microservice Systems?—0
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