foryichuanqi

foryichuanqi

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RESS-Paper-2022.09-Remaining-useful-life-prediction-by-TaFCN

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 Interpretability of deep learning are explored.

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

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

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 be further studied.

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TKDE-Paper-2023.10-Time-series-classification-by-MEB-ResNet

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 existing time series classification methods achieve performance leap. Our proposed MEB-ResNet achieved the most advanced time series classification ability.

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scikit-learn

scikit-learn: machine learning in Python

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