CeRULEo: Comprehensive utilitiEs for Remaining Useful Life Estimation methOds
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Updated
Jun 19, 2024 - Python
CeRULEo: Comprehensive utilitiEs for Remaining Useful Life Estimation methOds
A collection of datasets for RUL estimation as Lightning Data Modules.
Remaining Useful Life estimation and sensor data generation by VAE and diffusion model on C-MAPSS dataset.
A collection of unsupervised domain adaption algorithms for RUL estimation.
Bayesian deep learning for remaining useful life estimation via Stein variational gradient descent
Conformal Prediction Intervals for Remaining Useful Lifetime Estimation (IJPHM 2023)
Evolutionary Neural Architecture Search for Remaining Useful Life Prediction
RUL prediction for C-MAPSS dataset, reproduction of this paper: https://personal.ntu.edu.sg/xlli/publication/RULAtt.pdf
Using knowledge-informed machine learning on the PRONOSTIA (FEMTO) and IMS bearing data sets. Predict remaining-useful-life (RUL).
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
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.
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.
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.
Deep learning approach for estimation of Remaining Useful Life (RUL) of an engine
False Data Injection Attacks in Internet of Things and Deep Learning enabled Predictive Analytics
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