# zggg1p/A-Domain-Adaption-Transfer-Learning-Bearing-Fault-Diagnosis-Model-Based-on-Wide-Convolution-Deep-Neu

<https://repo.masters-masters.com/repos/zggg1p/A-Domain-Adaption-Transfer-Learning-Bearing-Fault-Diagnosis-Model-Based-on-Wide-Convolution-Deep-Neu>

[Accueil](https://repo.masters-masters.com/) › [zggg1p](https://repo.masters-masters.com/owners/zggg1p) › [A-Domain-Adaption-Transfer-Learning-Bearing-Fault-Diagnosis-Model-Based-on-Wide-Convolution-Deep-Neu](https://repo.masters-masters.com/repos/zggg1p/A-Domain-Adaption-Transfer-Learning-Bearing-Fault-Diagnosis-Model-Based-on-Wide-Convolution-Deep-Neu)

zggg1p/A-Domain-Adaption-Transfer-Learning-Bearing-Fault-Diagnosis-Model-Based-on-Wide-Convolution-Deep-Neu, dépôt open source à 156 étoiles sur GitHub. Carte…

| Champ | Valeur |
| --- | --- |
| Propriétaire | [zggg1p](https://repo.masters-masters.com/owners/zggg1p) |
| Étoiles | 156 |
| Forks | 16 |
| Langage | [Python](https://repo.masters-masters.com/languages/python) |
| Licence | Aucune |
| Création | 2021 |
| Sujets | deep-learning, domain-adaptation, fault-detection |
| Rang | [Prototype (100 à 249 ★)](https://repo.masters-masters.com/ranks/rush) |
| Voir sur GitHub | [zggg1p/A-Domain-Adaption-Transfer-Learning-Bearing-Fault-Diagnosis-Model-Based-on-Wide-Convolution-Deep-Neu](https://github.com/zggg1p/A-Domain-Adaption-Transfer-Learning-Bearing-Fault-Diagnosis-Model-Based-on-Wide-Convolution-Deep-Neu) |

## Fiche du dépôt

Inspired by the idea of transfer learning, a combined approach is proposed. In the method, Deep Convolutional Neural Networks with Wide First-layer Kernel is used to extract features to classify the health conditions.

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

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