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Fault Detection
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Predictive Maintenance Optimization for Smart Vending Machines Using IoT and Machine Learning
Recursive-ARX for Grid-Edge Fault Detection
BattBee: Equivalent Circuit Modeling and Early Detection of Thermal Runaway Triggered by Internal Short Circuits for Lithium-Ion Batteries
Observer Switching Strategy for Enhanced State Estimation in CSTR Networks
Temporal cross-validation impacts multivariate time series subsequence anomaly detection evaluation
Joint System Modeling Approach for Fault Simulation of Start-er/Generator and Gas Generator in All-Electric APU
Interturn Fault Detection in IPMSMs: Two Adaptive Observer-based Solutions
Time-Series Learning for Proactive Fault Prediction in Distributed Systems with Deep Neural Structures
Selection Mechanisms for Sequence Modeling using Linear State Space Models
Impact of Data Sparsity on Machine Learning for Fault Detection in Power System Protection
EvoGPT: Enhancing Test Suite Robustness via LLM-Based Generation and Genetic Optimization
Cloud-Based AI Systems: Leveraging Large Language Models for Intelligent Fault Detection and Autonomous Self-Healing
Online Isolation Forest
Neural Associative Skill Memories for safer robotics and modelling human sensorimotor repertoires
Implicit Neural Representation of Waveform Measurements in Power Systems Waveform Data Analysis
Fault Detection Method for Power Conversion Circuits Using Thermal Image and Convolutional Autoencoder
Efficient Fault Detection in WSN Based on PCA-Optimized Deep Neural Network Slicing Trained with GOA
Fault Diagnosis of 3D-Printed Scaled Wind Turbine Blades
Efficient Fairness Testing in Large Language Models: Prioritizing Metamorphic Relations for Bias Detection
Comparative Study of Generative Models for Early Detection of Failures in Medical Devices
Benchmarking Traditional Machine Learning and Deep Learning Models for Fault Detection in Power Transformers
Global Task-aware Fault Detection, Identification For On-Orbit Multi-Spacecraft Collaborative Inspection
Data-Driven Sensor Fault Diagnosis with Proven Guarantees using Incrementally Stable Recurrent Neural Networks
Fault Detection and Human Intervention in Vehicle Platooning: A Multi-Model Framework
EPSILON: Adaptive Fault Mitigation in Approximate Deep Neural Network using Statistical Signatures
DConAD: A Differencing-based Contrastive Representation Learning Framework for Time Series Anomaly Detection
Equi-Euler GraphNet: An Equivariant, Temporal-Dynamics Informed Graph Neural Network for Dual Force and Trajectory Prediction in Multi-Body Systems
Modelling & Steady State Compliance Testing of an Improved Time Synchronized Phasor Measurement Unit Based on IEEE Standard C37.118.1
Correcting Domain Shifts in Electric Motor Vibration Data for Unseen Operating Conditions
Simultaneous Input and State Estimation under Output Quantization: A Gaussian Mixture approach
NAPER: Fault Protection for Real-Time Resource-Constrained Deep Neural Networks
A Robust Method for Fault Detection and Severity Estimation in Mechanical Vibration Data
Online Fault Detection and Classification of Chemical Process Systems Leveraging Statistical Process Control and Riemannian Geometric Analysis
UniFault: A Fault Diagnosis Foundation Model from Bearing Data
Fault injection analysis of Real NVP normalising flow model for satellite anomaly detection
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