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Fault Detection

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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/Aakriti05/Prop-Fail-Detect-Control-RL

공식 코드

Mid-flight Propeller Failure Detection and Control of Propeller-deficient Quadcopter using Reinforcement Learning

https://github.com/BaratiLab/FaultNet

공식 코드

FaultNet: A Deep Convolutional Neural Network for bearing fault classification

https://github.com/BhuvanSaravanan/power_transformer_fault_detection

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Benchmarking Traditional Machine Learning and Deep Learning Models for Fault Detection in Power Transformers

https://github.com/DecodEPFL/faultDiag

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Data-Driven Sensor Fault Diagnosis with Proven Guarantees using Incrementally Stable Recurrent Neural Networks

https://github.com/EnergyWeatherAI/FL-Wind-NBM

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Wind turbine condition monitoring based on intra- and inter-farm federated learning

https://github.com/HazeDT/ARGWAE

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A Novel Unsupervised Graph Wavelet Autoencoder for Mechanical System Fault Detection

https://github.com/IS2AI/Deep_Fault_Tolerant_Control

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End-to-End Deep Fault Tolerant Control

https://github.com/Itomeo/QAPCA

공식 코드

Quantum Annealing for Robust Principal Component Analysis

https://github.com/KIT-IAI/CopyPasteImputation

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Data-Driven Copy-Paste Imputation for Energy Time Series

https://github.com/PierreBlanchart/CMBDTC

공식 코드

An exact counterfactual-example-based approach to tree-ensemble models interpretability

https://github.com/SJYuCNEL/Fault_detection_PMIM

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Interpretable Fault Detection using Projections of Mutual Information Matrix

https://github.com/Screeen/SVD-direct

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Wideband Relative Transfer Function (RTF) Estimation Exploiting Frequency Correlations

https://github.com/Stanford-NavLab/ellipsotopes

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Ellipsotopes: Combining Ellipsoids and Zonotopes for Reachability Analysis and Fault Detection

https://github.com/UNHSAILLab/Fault-Detection-on-Surgical-Stapler-

공식 코드

Comparative Study of Generative Models for Early Detection of Failures in Medical Devices

https://github.com/airi-institute/fdd-defense

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Adversarial Attacks and Defenses in Fault Detection and Diagnosis: A Comprehensive Benchmark on the Tennessee Eastman Process

https://github.com/airi-institute/sensorscan

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SensorSCAN: Self-Supervised Learning and Deep Clustering for Fault Diagnosis in Chemical Processes

https://github.com/aizazsharif/deeporder-icsme21

공식 코드

DeepOrder: Deep Learning for Test Case Prioritization in Continuous Integration Testing

https://github.com/alfonsogijon/WindTurbines_hybrid

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Integrating Physics and Data-Driven Approaches: An Explainable and Uncertainty-Aware Hybrid Model for Wind Turbine Power Prediction

https://github.com/alfonsogijon/windturbines_pinns

공식 코드

Prediction of wind turbines power with physics-informed neural networks and evidential uncertainty quantification

https://github.com/ant-research/BayesianLinearAttributionForRootCauseLocalization_BALANCE

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BALANCE: Bayesian Linear Attribution for Root Cause Localization

https://github.com/ase2023paper/deepfeature

공식 코드

Feature Map Testing for Deep Neural Networks

https://github.com/colinstephen/icmla2018

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Sinkhorn Divergence of Topological Signature Estimates for Time Series Classification

https://github.com/cpatdowling/building_transfer

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Transfer Learning for HVAC System Fault Detection

https://github.com/davidesartor/FIERL

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Fault Identification Enhancement with Reinforcement Learning (FIERL)

https://github.com/deepdiagnosis/icse2022

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DeepDiagnosis: Automatically Diagnosing Faults and Recommending Actionable Fixes in Deep Learning Programs

https://github.com/deepinsights-analytica/ieee-etfa2020-paper

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Machine Learning-Based Unbalance Detection of a Rotating Shaft Using Vibration Data

https://github.com/donghao51/nng-mix

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NNG-Mix: Improving Semi-supervised Anomaly Detection with Pseudo-anomaly Generation

https://github.com/douyimin/faultnet

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MD Loss: Efficient Training of 3D Seismic Fault Segmentation Network under Sparse Labels by Weakening Anomaly Annotation

https://github.com/drlinter/drlinter

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Faults in Deep Reinforcement Learning Programs: A Taxonomy and A Detection Approach

https://github.com/eddardd/MROT

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Unsupervised Anomaly Detection through Mass Repulsing Optimal Transport

https://github.com/emadeldeen24/TS-TCC

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Time-Series Representation Learning via Temporal and Contextual Contrasting

https://github.com/facebookresearch/measuring-emergent-comm

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On the Pitfalls of Measuring Emergent Communication

https://github.com/giograno/evosuite

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Testing with Fewer Resources: An Adaptive Approach to Performance-Aware Test Case Generation

https://github.com/giovannimen/cpcad-bench

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CIPCaD-Bench: Continuous Industrial Process datasets for benchmarking Causal Discovery methods

https://github.com/haitaozhao/Neural-Component-Analysis

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Neural Component Analysis for Fault Detection

https://github.com/imperial-qore/pregan

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PreGAN: Preemptive Migration Prediction Network for Proactive Fault-Tolerant Edge Computing

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.