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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 2 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 11 months ago
collection of predictive maintenance solutions for NASAs turbofan (CMAPSS) dataset
Created
2020-08-08
23 commits to master branch, last one 3 years 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 2 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
The source code of paper: Trend attention fully convolutional network for remaining useful life estimation in the turbofan engine PHM of CMAPSS dataset. Signal selection, Attention mechanism, and Inte...
Created
2022-09-13
82 commits to main branch, last one about a year ago
Evolutionary Neural Architecture Search on Transformers for RUL Prediction
Created
2022-12-07
18 commits to main branch, last one about a year ago
A collection of datasets for RUL estimation as Lightning Data Modules.
Created
2022-05-24
166 commits to master branch, last one about a month ago