Deep learning approach for estimation of Remaining Useful Life (RUL) of an engine
-
Updated
Oct 2, 2020 - Python
Deep learning approach for estimation of Remaining Useful Life (RUL) of an engine
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.
Using knowledge-informed machine learning on the PRONOSTIA (FEMTO) and IMS bearing data sets. Predict remaining-useful-life (RUL).
PyTorch implementation of remaining useful life prediction with long-short term memories (LSTM), performing on NASA C-MAPSS data sets. Partially inspired by Zheng, S., Ristovski, K., Farahat, A., & Gupta, C. (2017, June). Long short-term memory network for remaining useful life estimation.
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.
RUL prediction for C-MAPSS dataset, reproduction of this paper: https://personal.ntu.edu.sg/xlli/publication/RULAtt.pdf
False Data Injection Attacks in Internet of Things and Deep Learning enabled Predictive Analytics
A collection of datasets for RUL estimation as Lightning Data Modules.
CeRULEo: Comprehensive utilitiEs for Remaining Useful Life Estimation methOds
A collection of unsupervised domain adaption algorithms for RUL estimation.
Evolutionary Neural Architecture Search for Remaining Useful Life Prediction
Remaining Useful Life estimation and sensor data generation by VAE and diffusion model on C-MAPSS dataset.
ProFeld: survival analysis, predictive maintenance, churn analysis, and remaining useful life prediction in Python
Bayesian Deep Learning for Remaining Useful Life Estimation of Machine Tool Components
Conformal Prediction Intervals for Remaining Useful Lifetime Estimation (IJPHM 2023)
Bayesian deep learning for remaining useful life estimation via Stein variational gradient descent
Add a description, image, and links to the remaining-useful-life topic page so that developers can more easily learn about it.
To associate your repository with the remaining-useful-life topic, visit your repo's landing page and select "manage topics."