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

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

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

jiaxiang-cheng/PyTorch-CNN-for-RUL-Prediction has 105 stars on GitHub. Its RepoMasters card: Prototype tier. PyTorch implementation of CNN for remaining…

| Field | Value |
| --- | --- |
| Owner | [jiaxiang-cheng](https://repo.masters-masters.com/en/owners/jiaxiang-cheng) |
| Stars | 105 |
| Forks | 18 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | Apache-2.0 |
| Created | 2021 |
| Topics | cnn, remaining-useful-life, c-mapss, deep-learning, deep-neural-networks, convolutional-neural-networks |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [jiaxiang-cheng/PyTorch-CNN-for-RUL-Prediction](https://github.com/jiaxiang-cheng/PyTorch-CNN-for-RUL-Prediction) |

## Repository

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…

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

## More repos by jiaxiang-cheng

- [jiaxiang-cheng/PyTorch-Transformer-for-RUL-Prediction · ★ 313 · Python · Alpha](https://repo.masters-masters.com/en/repos/jiaxiang-cheng/PyTorch-Transformer-for-RUL-Prediction)
- [jiaxiang-cheng/PyTorch-LSTM-for-RUL-Prediction · ★ 187 · Python · Prototype](https://repo.masters-masters.com/en/repos/jiaxiang-cheng/PyTorch-LSTM-for-RUL-Prediction)

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