Transformer Network for Remaining Useful Life Prediction of Lithium-Ion Batteries

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.

This repository contains code that implement common machine learning algorithms for remaining useful life (RUL) prediction.

Remaining Useful Life (RUL) estimation of Lithium-ion batteries using deep LSTMs

锂电池数据集 CALCE

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.

Analysis for NASA data sets

Datasets for Predictive Maintenance

RUL prediction for C-MAPSS dataset, reproduction of this paper: https://personal.ntu.edu.sg/xlli/publication/RULAtt.pdf

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.

N-CMAPSS data preparation for Machine Learning and Deep Learning models. (Python source code for new CMAPSS dataset)

Tool wear prediction by residual CNN

刀具剩余寿命预测

This project is about predictive maintenance with machine learning. It's a final project of my Computer Science AP degree.

Bearing remaining useful life prediction using support vector machine and hybrid degradation tracking model - Implementation of Research Paper : https://doi.org/10.1016/j.isatra.2019.08.058

Predictive Maintenance System for Digital Factory Automation

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.