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GitHub / 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.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jiaxiang-cheng%2FPyTorch-CNN-for-RUL-Prediction
PURL: pkg:github/jiaxiang-cheng/PyTorch-CNN-for-RUL-Prediction

Stars: 43
Forks: 15
Open issues: 1

License: apache-2.0
Language: Python
Size: 11.6 MB
Dependencies parsed at: Pending

Created at: over 4 years ago
Updated at: over 2 years ago
Pushed at: about 4 years ago
Last synced at: over 2 years ago

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

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