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.
☆295Oct 26, 2021Updated 4 years ago
Alternatives and similar repositories for PyTorch-Transformer-for-RUL-Prediction
Users that are interested in PyTorch-Transformer-for-RUL-Prediction are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- PyTorch implementation of remaining useful life prediction with long-short term memories (LSTM), performing on NASA C-MAPSS data sets. Pa…☆175Jul 5, 2021Updated 4 years ago
- RUL prediction for Turbofan Engine (CMAPSS dataset) using CNN☆133Nov 6, 2020Updated 5 years ago
- PyTorch implementation of CNN for remaining useful life prediction. Inspired by Babu, G. S., Zhao, P., & Li, X. L. (2016, April). Deep co…☆102Jul 5, 2021Updated 4 years ago
- Implementation of GCU-Transformer for RUL Prediction on CMAPSS☆48Apr 14, 2025Updated 11 months ago
- Transformer implementation with PyTorch for remaining useful life prediction on turbofan engine with NASA CMAPSS data set. Inspired by Mo…☆24Jan 7, 2023Updated 3 years ago
- Evolutionary Neural Architecture Search on Transformers for RUL Prediction☆50Apr 18, 2023Updated 2 years ago
- RUL prediction for C-MAPSS dataset, reproduction of this paper: https://personal.ntu.edu.sg/xlli/publication/RULAtt.pdf☆118Apr 11, 2023Updated 2 years ago
- Remaining useful life prediction by Transformer-based Model☆55Aug 19, 2022Updated 3 years ago
- Pytorch implementation for Domain Adaptive Remaining Useful Life Prediction with Transformer☆87Jun 19, 2023Updated 2 years ago
- to prediction the remain useful life of bearing based on 2012 PHM data☆313Jan 17, 2021Updated 5 years ago
- The code of DAST☆63Nov 3, 2022Updated 3 years ago
- N-CMAPSS data preparation for Machine Learning and Deep Learning models. (Python source code for new CMAPSS dataset)☆106Apr 13, 2023Updated 2 years ago
- This repository contains code that implement common machine learning algorithms for remaining useful life (RUL) prediction.☆217Jan 5, 2025Updated last year
- Transformer Network for Remaining Useful Life Prediction of Lithium-Ion Batteries☆478May 30, 2024Updated last year
- remaining Useful Life (RUL) Prediction of Mechanical Bearings using Continuous Wavelet Transform (CWT), Convolution Neural Network (CNN),…☆202Apr 6, 2024Updated last year
- Bearing remaining useful life prediction using support vector machine and hybrid degradation tracking model - Implementation of Research …☆54Nov 10, 2021Updated 4 years ago
- ☆16Aug 11, 2022Updated 3 years ago
- A collection of datasets for RUL estimation as Lightning Data Modules.☆53May 23, 2024Updated last year
- The implementation of Privacy-Preserving Adaptive Remaining Useful Life Prediction via Source-Free Domain Adaption in PyTorch.☆28Mar 4, 2025Updated last year
- ☆60Mar 24, 2023Updated 2 years ago
- ☆106Jan 26, 2024Updated 2 years ago
- Unofficial PyTorch implementation of the paper "Variational encoding approach for interpretable assessment of remaining useful life estim…☆23May 9, 2022Updated 3 years ago
- Attention-based multihead model for optimized aircraft engine remaining useful life prediction☆62May 23, 2024Updated last year
- GLIN: Remaining useful life prediction based on fusion of global and local information (Transformer)☆33Oct 10, 2023Updated 2 years ago
- Deep learning approach for estimation of Remaining Useful Life (RUL) of an engine☆247Oct 2, 2020Updated 5 years ago
- One model for RUL and fault prognostic prediction on XJTU bearing dataset☆101Aug 13, 2019Updated 6 years ago
- A Framework for Remaining Useful Life Prediction Based on Self-Attention and Physics-Informed Neural Networks☆140Jan 28, 2024Updated 2 years ago
- Using knowledge-informed machine learning on the PRONOSTIA (FEMTO) and IMS bearing data sets. Predict remaining-useful-life (RUL).☆173Mar 17, 2023Updated 3 years ago
- ☆72Jan 17, 2021Updated 5 years ago
- Multi-Objective Optimization of ELM for RUL Prediction☆15Jun 1, 2022Updated 3 years ago
- Remain useful life prediction of rolling bearing.☆59Oct 30, 2020Updated 5 years ago
- Remaining Useful Life (RUL) prediction for Turbofan Engines☆28Nov 16, 2021Updated 4 years ago
- collection of predictive maintenance solutions for NASAs turbofan (CMAPSS) dataset☆143Jan 24, 2021Updated 5 years ago
- Generalized Multiscale Feature Extraction for Remaining Useful Life Prediction of Bearings with Generative Adversarial Networks☆46May 30, 2022Updated 3 years ago
- The implementation of Weighted Adversarial Domain Adaptation for Machine Remaining Useful Life Prediction in PyTorch.☆37Oct 9, 2023Updated 2 years ago
- ☆66Nov 30, 2020Updated 5 years ago
- PyTorch implementation of remaining useful life prediction with long-short term memories (LSTM), performing on NASA C-MAPSS data sets. Pa…☆14Jan 7, 2023Updated 3 years ago
- Remaining Useful Life Prediction Using RNN/LSTM/GRU Neural Networks☆151Jan 6, 2022Updated 4 years ago
- Deep learning in PHM,Deep learning in fault diagnosis,Deep learning in remaining useful life prediction☆480Mar 24, 2021Updated 4 years ago