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.

• UpdatedOct 26, 2021
• Python

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

• UpdatedJan 5, 2025
• Jupyter Notebook

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.

• UpdatedJul 5, 2021
• Python

collection of predictive maintenance solutions for NASAs turbofan (CMAPSS) dataset

• UpdatedJan 24, 2021
• Jupyter Notebook

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

• UpdatedApr 13, 2023
• Jupyter Notebook

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 Interpretability of deep learning are explored.

• UpdatedFeb 18, 2023
• Python

A collection of datasets for RUL estimation as Lightning Data Modules.

• UpdatedMay 23, 2024
• Python

Evolutionary Neural Architecture Search on Transformers for RUL Prediction

• UpdatedApr 18, 2023
• Python

A collection of unsupervised domain adaption algorithms for RUL estimation.

• UpdatedApr 22, 2024
• Python

Evolutionary Neural Architecture Search for Remaining Useful Life Prediction

• UpdatedApr 13, 2023
• Python

Conformal Prediction Intervals for Remaining Useful Lifetime Estimation (IJPHM 2023)

• UpdatedJul 26, 2023
• Python

A PyTorch implimentation of a conditional Dynamical Variational Autoencoder for remaining useful life estimation

• UpdatedSep 20, 2023
• Jupyter Notebook

Tensorflow implementation of a Kalman-DVAE for remaining useful life estimation on the CMAPSS dataset

• UpdatedSep 20, 2023
• Jupyter Notebook

Predictive Maintenance project using Python and C-MAPSS NASA Turbofan Engine data.

• UpdatedMar 20, 2022
• Jupyter Notebook

• UpdatedNov 7, 2024
• Jupyter Notebook

• UpdatedDec 19, 2022
• Python

A repository for predictive maintenance models using XGBoost and Random Forest to estimate the Remaining Useful Life (RUL) of turbofan engines from the NASA CMAPSS dataset, featuring an adaptive sliding window approach for real-time degradation trend analysis, which outperforms fixed-window methods in accuracy.

• UpdatedMar 15, 2025
• Jupyter Notebook