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

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

[Home](https://repo.masters-masters.com/en) › [zggg1p](https://repo.masters-masters.com/en/owners/zggg1p) › [A-Domain-Adaption-Transfer-Learning-Bearing-Fault-Diagnosis-Model-Based-on-Wide-Convolution-Deep-Neu](https://repo.masters-masters.com/en/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 has 156 stars on GitHub. Its RepoMasters card…

| Field | Value |
| --- | --- |
| Owner | [zggg1p](https://repo.masters-masters.com/en/owners/zggg1p) |
| Stars | 156 |
| Forks | 16 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2021 |
| Topics | deep-learning, domain-adaptation, fault-detection |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on 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) |

## Repository

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.

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

## Nearby in Python

- [mikuta0407/win4wine · ★ 156 · Python · Prototype](https://repo.masters-masters.com/en/repos/mikuta0407/win4wine)
- [PedroMarinhoDev/ComfyUI-Drama3 · ★ 156 · Python · Prototype](https://repo.masters-masters.com/en/repos/PedroMarinhoDev/ComfyUI-Drama3)
- [Minglink/dsh-workflows · ★ 156 · Python · Prototype](https://repo.masters-masters.com/en/repos/Minglink/dsh-workflows)
- [effigies/BitTornado · ★ 156 · Python · Prototype](https://repo.masters-masters.com/en/repos/effigies/BitTornado)
- [nipy/mindboggle · ★ 156 · Python · Prototype](https://repo.masters-masters.com/en/repos/nipy/mindboggle)
- [apavlo/py-tpcc · ★ 156 · Python · Prototype](https://repo.masters-masters.com/en/repos/apavlo/py-tpcc)

---
Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.