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Fault Detection

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Showing 1–50 of 511 papers

TitleStatusHype
Multi-scale Quaternion CNN and BiGRU with Cross Self-attention Feature Fusion for Fault Diagnosis of BearingCode2
TFPred: Learning Discriminative Representations from Unlabeled Data for Few-Label Rotating Machinery Fault DiagnosisCode2
Self-Supervised Contrastive Pre-Training For Time Series via Time-Frequency ConsistencyCode2
Self-Supervised Log ParsingCode2
Online Isolation ForestCode1
Integrating Physics and Data-Driven Approaches: An Explainable and Uncertainty-Aware Hybrid Model for Wind Turbine Power PredictionCode1
FaultExplainer: Leveraging Large Language Models for Interpretable Fault Detection and DiagnosisCode1
Explainable fault and severity classification for rolling element bearings using Kolmogorov-Arnold networksCode1
Gaussian process-based online health monitoring and fault analysis of lithium-ion battery systems from field dataCode1
DKDL-Net: A Lightweight Bearing Fault Detection Model via Decoupled Knowledge Distillation and Low-Rank Adaptation Fine-tuningCode1
USD: Unsupervised Soft Contrastive Learning for Fault Detection in Multivariate Time SeriesCode1
A probabilistic estimation of remaining useful life from censored time-to-event dataCode1
PHMD: An easy data access tool for prognosis and health management datasetsCode1
Exploring Sound vs Vibration for Robust Fault Detection on Rotating MachineryCode1
NNG-Mix: Improving Semi-supervised Anomaly Detection with Pseudo-anomaly GenerationCode1
Prediction of wind turbines power with physics-informed neural networks and evidential uncertainty quantificationCode1
DyEdgeGAT: Dynamic Edge via Graph Attention for Early Fault Detection in IIoT SystemsCode1
BALANCE: Bayesian Linear Attribution for Root Cause LocalizationCode1
Zero-Shot Motor Health Monitoring by Blind Domain TransitionCode1
Self-Supervised Masked Convolutional Transformer Block for Anomaly DetectionCode1
SensorSCAN: Self-Supervised Learning and Deep Clustering for Fault Diagnosis in Chemical ProcessesCode1
CIPCaD-Bench: Continuous Industrial Process datasets for benchmarking Causal Discovery methodsCode1
Explainable AI Algorithms for Vibration Data-based Fault Detection: Use Case-adadpted Methods and Critical EvaluationCode1
DeepDiagnosis: Automatically Diagnosing Faults and Recommending Actionable Fixes in Deep Learning ProgramsCode1
Anomaly Detection in IR Images of PV Modules using Supervised Contrastive LearningCode1
PreGAN: Preemptive Migration Prediction Network for Proactive Fault-Tolerant Edge ComputingCode1
DeepOrder: Deep Learning for Test Case Prioritization in Continuous Integration TestingCode1
MD Loss: Efficient Training of 3D Seismic Fault Segmentation Network under Sparse Labels by Weakening Anomaly AnnotationCode1
Ellipsotopes: Combining Ellipsoids and Zonotopes for Reachability Analysis and Fault DetectionCode1
Time-Series Representation Learning via Temporal and Contextual ContrastingCode1
GPLA-12: An Acoustic Signal Dataset of Gas Pipeline LeakageCode1
Online Forecasting and Anomaly Detection Based on the ARIMA ModelCode1
FaultNet: A Deep Convolutional Neural Network for bearing fault classificationCode1
Bearing Fault Diagnosis Base on Multi-scale CNN and LSTM ModelCode1
Machine Learning-Based Unbalance Detection of a Rotating Shaft Using Vibration DataCode1
On the Pitfalls of Measuring Emergent CommunicationCode1
Smart fault detection in satellite electrical power system—0
Predictive Maintenance Optimization for Smart Vending Machines Using IoT and Machine Learning—0
Recursive-ARX for Grid-Edge Fault Detection—0
Observer Switching Strategy for Enhanced State Estimation in CSTR Networks—0
BattBee: Equivalent Circuit Modeling and Early Detection of Thermal Runaway Triggered by Internal Short Circuits for Lithium-Ion Batteries—0
Temporal cross-validation impacts multivariate time series subsequence anomaly detection evaluation—0
Joint System Modeling Approach for Fault Simulation of Start-er/Generator and Gas Generator in All-Electric APU—0
Interturn Fault Detection in IPMSMs: Two Adaptive Observer-based Solutions—0
Time-Series Learning for Proactive Fault Prediction in Distributed Systems with Deep Neural Structures—0
Selection Mechanisms for Sequence Modeling using Linear State Space Models—0
Impact of Data Sparsity on Machine Learning for Fault Detection in Power System Protection—0
EvoGPT: Enhancing Test Suite Robustness via LLM-Based Generation and Genetic Optimization—0
Cloud-Based AI Systems: Leveraging Large Language Models for Intelligent Fault Detection and Autonomous Self-Healing—0
Implicit Neural Representation of Waveform Measurements in Power Systems Waveform Data Analysis—0
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