# aqibsaeed/Estimation-of-Remaining-Useful-Life-using-CNN

<https://repo.masters-masters.com/en/repos/aqibsaeed/Estimation-of-Remaining-Useful-Life-using-CNN>

[Home](https://repo.masters-masters.com/en) › [aqibsaeed](https://repo.masters-masters.com/en/owners/aqibsaeed) › [Estimation-of-Remaining-Useful-Life-using-CNN](https://repo.masters-masters.com/en/repos/aqibsaeed/Estimation-of-Remaining-Useful-Life-using-CNN)

aqibsaeed/Estimation-of-Remaining-Useful-Life-using-CNN has 140 stars on GitHub. Its RepoMasters card: Prototype tier. Convolutional Neural Network based…

| Field | Value |
| --- | --- |
| Owner | [aqibsaeed](https://repo.masters-masters.com/en/owners/aqibsaeed) |
| Stars | 140 |
| Forks | 54 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | Apache-2.0 |
| Created | 2017 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [aqibsaeed/Estimation-of-Remaining-Useful-Life-using-CNN](https://github.com/aqibsaeed/Estimation-of-Remaining-Useful-Life-using-CNN) |

## Repository

Convolutional Neural Network based regression approach for estimating machinery's remaining useful life

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

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