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1. RESS-Paper-2022.09-Remaining-useful-life-prediction-by-TaFCN RESS-Paper-2022.09-Remaining-useful-life-prediction-by-TaFCNPublic

   The source code of paper: Trend attention fully convolutional network for remaining useful life estimation in the turbofan engine PHM of CMAPSS dataset. Signal selection, Attention mechanism, and I…

   Python 69 3

2. ADVEI-Paper-2023.11-Zero-shot-fault-diagnosis-by-attribute-fusion-transfer ADVEI-Paper-2023.11-Zero-shot-fault-diagnosis-by-attribute-fusion-transferPublic

   Zero-shot fault diagnosis on the Tennessee–Eastman process by attribute fusion transfer. Paper: Attribute fusion transfer for zero-shot fault diagnosis

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3. ADVEI-Paper-2024.3-Degradation-path-approximation-for-remaining-useful-life-estimation ADVEI-Paper-2024.3-Degradation-path-approximation-for-remaining-useful-life-estimationPublic

   Remaining useful life prediction. Degradation path approximation (DPA) is a highly easy-to-understand and brand-new solution way for data-driven RUL prediction. Many research directions on DPA can …

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4. IEEE-CAA-paper-2025-Multi-interval-aggregation-failure-point-approximation-for-RUL-prediction IEEE-CAA-paper-2025-Multi-interval-aggregation-failure-point-approximation-for-RUL-predictionPublic

   We propose a remaining useful life performance improvement framework, verified in CALCE battery and milling catter dataset. Paper: Multi-interval aggregation failure point approximation for RUL pre…

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5. TKDE-Paper-2023.10-Time-series-classification-by-MEB-ResNet TKDE-Paper-2023.10-Time-series-classification-by-MEB-ResNetPublic

   Paper: Multi-Scale Ensemble Booster for Improving Existing TSD Classifiers. We proposed a highly easy-to-use performance enhancement framework called multi-scale ensemble booster(MEB), helping exis…

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6. scikit-learn scikit-learnPublic

   Forked from scikit-learn/scikit-learn

   scikit-learn: machine learning in Python

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