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Transformer Network for Remaining Useful Life Prediction of Lithium-Ion Batteries
Created
2021-06-21
115 commits to main branch, last one 6 months ago
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...
Created
2021-05-10
8 commits to master branch, last one 3 years ago
This repository contains code that implement common machine learning algorithms for remaining useful life (RUL) prediction.
Created
2020-02-20
80 commits to master branch, last one about a year ago
Remaining Useful Life (RUL) estimation of Lithium-ion batteries using deep LSTMs
Created
2021-06-01
49 commits to main branch, last one about a year ago
锂电池数据集 CALCE
Created
2021-07-02
89 commits to main branch, last one 6 months ago
Using knowledge-informed machine learning on the PRONOSTIA (FEMTO) and IMS bearing data sets. Predict remaining-useful-life (RUL).
Created
2021-06-30
178 commits to master branch, last one about a year ago
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., & Gu...
Created
2021-05-01
3 commits to master branch, last one 3 years ago
Analysis for NASA data sets
Created
2021-06-29
88 commits to main branch, last one 7 months ago
Datasets for Predictive Maintenance
phm
anomaly
automation
industry-4
degradation
forecasting
time-series
time-to-event
ai-engineering
event-to-event
run-to-failure
machine-learning
anomaly-detection
survival-analysis
time-series-analysis
remaining-useful-life
run-to-failure-models
predictive-maintenance
condition-based-maintenance
prognosis-and-health-management
Created
2021-11-01
32 commits to main branch, last one about a year ago
RUL prediction for C-MAPSS dataset, reproduction of this paper: https://personal.ntu.edu.sg/xlli/publication/RULAtt.pdf
Created
2022-04-15
16 commits to master branch, last one about a year ago
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 estima...
Created
2021-04-23
4 commits to master branch, last one 3 years ago
N-CMAPSS data preparation for Machine Learning and Deep Learning models. (Python source code for new CMAPSS dataset)
Created
2022-01-12
15 commits to main branch, last one about a year ago
This project is about predictive maintenance with machine learning. It's a final project of my Computer Science AP degree.
Created
2022-01-15
14 commits to master branch, last one 2 years ago
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
Created
2021-11-09
5 commits to master branch, last one 3 years ago
A collection of datasets for RUL estimation as Lightning Data Modules.
Created
2022-05-24
166 commits to master branch, last one 7 months ago
Remaining Useful Life estimation and sensor data generation by VAE and diffusion model on C-MAPSS dataset.
Created
2022-12-17
116 commits to main branch, last one 7 months ago
A collection of unsupervised domain adaption algorithms for RUL estimation.
Created
2022-11-10
95 commits to master branch, last one 8 months ago