# jiaxiang-cheng/PyTorch-CNN-for-RUL-Prediction

<https://repo.masters-masters.com/repos/jiaxiang-cheng/PyTorch-CNN-for-RUL-Prediction>

[Accueil](https://repo.masters-masters.com/) › [jiaxiang-cheng](https://repo.masters-masters.com/owners/jiaxiang-cheng) › [PyTorch-CNN-for-RUL-Prediction](https://repo.masters-masters.com/repos/jiaxiang-cheng/PyTorch-CNN-for-RUL-Prediction)

jiaxiang-cheng/PyTorch-CNN-for-RUL-Prediction, dépôt open source à 105 étoiles sur GitHub. Carte Prototype de RepoMasters. PyTorch implementation of CNN for…

| Champ | Valeur |
| --- | --- |
| Propriétaire | [jiaxiang-cheng](https://repo.masters-masters.com/owners/jiaxiang-cheng) |
| Étoiles | 105 |
| Forks | 18 |
| Langage | [Python](https://repo.masters-masters.com/languages/python) |
| Licence | Apache-2.0 |
| Création | 2021 |
| Sujets | cnn, remaining-useful-life, c-mapss, deep-learning, deep-neural-networks, convolutional-neural-networks |
| Rang | [Prototype (100 à 249 ★)](https://repo.masters-masters.com/ranks/rush) |
| Voir sur GitHub | [jiaxiang-cheng/PyTorch-CNN-for-RUL-Prediction](https://github.com/jiaxiang-cheng/PyTorch-CNN-for-RUL-Prediction) |

## Fiche du dépôt

PyTorch implementation of CNN for remaining useful life prediction. Inspired by Babu, G. S., Zhao, P., & Li, X. L. (2016, April). Deep convolutional neural network-based regression approach for estimation of remaining useful life. In International conference on database systems for advanced applica…

Rang des dépôts qui ont 100 à 249 ★ sur GitHub. Probabilité publiée par carte tirée : 70 %. Rareté : Commune.

## Autres dépôts de jiaxiang-cheng

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- [jiaxiang-cheng/PyTorch-LSTM-for-RUL-Prediction · ★ 187 · Python · Prototype](https://repo.masters-masters.com/repos/jiaxiang-cheng/PyTorch-LSTM-for-RUL-Prediction)

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Données : GitHub · Illustration dessinée par RepoMasters à partir de l’identifiant du dépôt et de la couleur de son langage.