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Fault Detection

Papers

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Showing 1–50 of 511 papers

TitleStatusHype
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
Multi-scale Quaternion CNN and BiGRU with Cross Self-attention Feature Fusion for Fault Diagnosis of BearingCode2
Self-Supervised Log ParsingCode2
PHMD: An easy data access tool for prognosis and health management datasetsCode1
Explainable AI Algorithms for Vibration Data-based Fault Detection: Use Case-adadpted Methods and Critical EvaluationCode1
Ellipsotopes: Combining Ellipsoids and Zonotopes for Reachability Analysis and Fault DetectionCode1
Integrating Physics and Data-Driven Approaches: An Explainable and Uncertainty-Aware Hybrid Model for Wind Turbine Power PredictionCode1
NNG-Mix: Improving Semi-supervised Anomaly Detection with Pseudo-anomaly GenerationCode1
On the Pitfalls of Measuring Emergent CommunicationCode1
USD: Unsupervised Soft Contrastive Learning for Fault Detection in Multivariate Time SeriesCode1
Prediction of wind turbines power with physics-informed neural networks and evidential uncertainty quantificationCode1
Machine Learning-Based Unbalance Detection of a Rotating Shaft Using Vibration DataCode1
GPLA-12: An Acoustic Signal Dataset of Gas Pipeline LeakageCode1
MD Loss: Efficient Training of 3D Seismic Fault Segmentation Network under Sparse Labels by Weakening Anomaly AnnotationCode1
Exploring Sound vs Vibration for Robust Fault Detection on Rotating MachineryCode1
DeepDiagnosis: Automatically Diagnosing Faults and Recommending Actionable Fixes in Deep Learning ProgramsCode1
Explainable fault and severity classification for rolling element bearings using Kolmogorov-Arnold networksCode1
FaultNet: A Deep Convolutional Neural Network for bearing fault classificationCode1
Gaussian process-based online health monitoring and fault analysis of lithium-ion battery systems from field dataCode1
Online Forecasting and Anomaly Detection Based on the ARIMA ModelCode1
PreGAN: Preemptive Migration Prediction Network for Proactive Fault-Tolerant Edge ComputingCode1
Time-Series Representation Learning via Temporal and Contextual ContrastingCode1
Zero-Shot Motor Health Monitoring by Blind Domain TransitionCode1
BALANCE: Bayesian Linear Attribution for Root Cause LocalizationCode1
SensorSCAN: Self-Supervised Learning and Deep Clustering for Fault Diagnosis in Chemical ProcessesCode1
Online Isolation ForestCode1
DeepOrder: Deep Learning for Test Case Prioritization in Continuous Integration TestingCode1
FaultExplainer: Leveraging Large Language Models for Interpretable Fault Detection and DiagnosisCode1
Self-Supervised Masked Convolutional Transformer Block for Anomaly DetectionCode1
Anomaly Detection in IR Images of PV Modules using Supervised Contrastive LearningCode1
A probabilistic estimation of remaining useful life from censored time-to-event dataCode1
Bearing Fault Diagnosis Base on Multi-scale CNN and LSTM ModelCode1
CIPCaD-Bench: Continuous Industrial Process datasets for benchmarking Causal Discovery methodsCode1
DKDL-Net: A Lightweight Bearing Fault Detection Model via Decoupled Knowledge Distillation and Low-Rank Adaptation Fine-tuningCode1
DyEdgeGAT: Dynamic Edge via Graph Attention for Early Fault Detection in IIoT SystemsCode1
A Multi-Agent Approach for REST API Testing with Semantic Graphs and LLM-Driven Inputs—0
A method for signal components identification in acoustic signal with non-Gaussian background noise using clustering of data in time-frequency domain—0
A Fault Detection Scheme Utilizing Convolutional Neural Network for PV Solar Panels with High Accuracy—0
A maturity framework for data driven maintenance—0
A Lightweight NMS-free Framework for Real-time Visual Fault Detection System of Freight Trains—0
A fault detection scheme for PV panels in large scale PV stations with complex installation conditions—0
A Comparison of Residual-based Methods on Fault Detection—0
ABIGX: A Unified Framework for eXplainable Fault Detection and Classification—0
Alarm-Based Root Cause Analysis in Industrial Processes Using Deep Learning—0
Enhanced Fault Detection and Cause Identification Using Integrated Attention Mechanism—0
AI-Powered Dynamic Fault Detection and Performance Assessment in Photovoltaic Systems—0
Advancing machine fault diagnosis: A detailed examination of convolutional neural networks—0
An Industry 4.0 example: real-time quality control for steel-based mass production using Machine Learning on non-invasive sensor data—0
An Incremental Negative Sequence Admittance Method for Fault Detection in Inverter-Based Microgrids—0
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