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

Transformer implementation with PyTorch for remaining useful life prediction on turbofan engine with NASA CMAPSS data set. Inspired by Mo, Y., Wu, Q., Li, X., & Huang, B. (2021). Remaining useful life estimation via transformer encoder enhanced by a gated convolutional unit. Journal of Intelligent Manufacturing, 1-10.

Date Created 2021-05-10 (3 years ago)

Commits 8 (last one 3 years ago)

Stargazers 231 (3 this week)

Watchers 3 (0 this week)

Forks 48

License apache-2.0

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RepositoryStats indexes 584,777 repositories, of these jiaxiang-cheng/PyTorch-Transformer-for-RUL-Prediction is ranked #161,794 (72nd percentile) for total stargazers, and #422,609 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #28,432/116,437.

jiaxiang-cheng/PyTorch-Transformer-for-RUL-Prediction is also tagged with popular topics, for these it's ranked: pytorch (#2,249/5951), transformer (#383/1000)

Other Information

jiaxiang-cheng/PyTorch-Transformer-for-RUL-Prediction has Github issues enabled, there are 7 open issues and 2 closed issues.

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

All Topics

cmapss pytorch prediction transformer turbofan-engine remaining-useful-life predictive-maintenance pytorch-implementation

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updated: 2024-11-21 @ 04:09pm, id: 365902211 / R_kgDOFc85gw