cmapss topic
PyTorch-Transformer-for-RUL-Prediction
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...
exploring-nasas-turbofan-dataset
collection of predictive maintenance solutions for NASAs turbofan (CMAPSS) dataset
PyTorch-LSTM-for-RUL-Prediction
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...
rul_codes_open
This repository contains code that implement common machine learning algorithms for remaining useful life (RUL) prediction.
rul-datasets
A collection of datasets for RUL estimation as Lightning Data Modules.
rul-adapt
A collection of unsupervised domain adaption algorithms for RUL estimation.
RESS-Paper-2022.09-Remaining-useful-life-prediction-by-TaFCN
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...
ENAS-PdM
Evolutionary Neural Architecture Search for Remaining Useful Life Prediction
NAS_transformer
Evolutionary Neural Architecture Search on Transformers for RUL Prediction
N-CMAPSS_DL
N-CMAPSS data preparation for Machine Learning and Deep Learning models. (Python source code for new CMAPSS dataset)