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 89 (0 this week)

Watchers 2 (0 this week)

Forks 19

License apache-2.0

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RepositoryStats indexes 626,090 repositories, of these jiaxiang-cheng/PyTorch-CNN-for-RUL-Prediction is ranked #329,340 (47th percentile) for total stargazers, and #478,250 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #62,424/127,343.

jiaxiang-cheng/PyTorch-CNN-for-RUL-Prediction is also tagged with popular topics, for these it's ranked: deep-learning (#5,478/8764), deep-neural-networks (#427/649), cnn (#331/569), convolutional-neural-networks (#351/562)

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: 2025-03-06 @ 06:40am, id: 360762936 / R_kgDOFYDOOA