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

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 applications (pp. 214-228). Springer, Cham.

Date Created 2021-04-23 (3 years ago)

Commits 4 (last one 3 years ago)

Stargazers 85 (2 this week)

Watchers 2 (0 this week)

Forks 19

License apache-2.0

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RepositoryStats indexes 584,353 repositories, of these jiaxiang-cheng/PyTorch-CNN-for-RUL-Prediction is ranked #323,967 (45th percentile) for total stargazers, and #478,709 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #60,337/116,326.

jiaxiang-cheng/PyTorch-CNN-for-RUL-Prediction is also tagged with popular topics, for these it's ranked: deep-learning (#5,445/8389), deep-neural-networks (#428/626), cnn (#334/544), convolutional-neural-networks (#352/540)

Other Information

jiaxiang-cheng/PyTorch-CNN-for-RUL-Prediction has Github issues enabled, there is 1 open issue and 1 closed issue.

There have been 1 release, the latest one was published on 2021-06-28 (3 years ago) with the name CNN for RUL Prediction.

All Topics

cnn c-mapss deep-learning deep-neural-networks remaining-useful-life convolutional-neural-networks

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updated: 2024-11-20 @ 04:24pm, id: 360762936 / R_kgDOFYDOOA