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.
☆24Jan 7, 2023Updated 3 years ago
Alternatives and similar repositories for survml-transformer-rul-prediction
Users that are interested in survml-transformer-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:
- GLIN: Remaining useful life prediction based on fusion of global and local information (Transformer)☆33Oct 10, 2023Updated 3 years ago
- ☆16Aug 11, 2022Updated 4 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
- Produce an example using LSTM to predict remaining useful life of machinery☆16Dec 28, 2023Updated 2 years ago
- Bayesian Deep Learning for Remaining Useful Life Estimation of Machine Tool Components☆16Apr 26, 2022Updated 4 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Remaining useful life prediction by Transformer-based Model☆60Aug 19, 2022Updated 4 years ago
- Evolutionary Neural Architecture Search on Transformers for RUL Prediction☆53Apr 18, 2023Updated 3 years ago
- Implementation of GCU-Transformer for RUL Prediction on CMAPSS☆50Apr 14, 2025Updated last year
- Prediction of Remaining Useful Life(RUL) for Aircraft Engine Using Neural Network Models☆14Dec 7, 2018Updated 7 years ago
- This is an official code of "Bi-LSTM based Two-Stream Network for Machine Remaining Useful Life Prediction"☆15Dec 19, 2023Updated 2 years ago
- This project uses Transformer-based RNN model to predict the remaining useful life (RUL) of turbo fan jet engines using NASA's C-MAPSS si…☆14Nov 17, 2023Updated 2 years ago
- Code for the paper "Breaking the black box barrier: predicting remaining useful life under uncertainty from raw images with interpretable…☆14Feb 26, 2025Updated last year
- Official implementation of https://arxiv.org/abs/1911.06256. Bayesian and frequentist deep learning models for remaining useful life (RUL…☆21Nov 15, 2019Updated 6 years ago
- Transformer implementation with PyTorch for remaining useful life prediction on turbofan engine with NASA CMAPSS data set. Inspired by Mo…☆313Oct 26, 2021Updated 5 years ago
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- Estimate Remaining Useful Life of a Machine☆12May 27, 2023Updated 3 years ago
- Remaining Useful Life prediction with a Deep Self-Supervised Learning Approach☆24Mar 14, 2026Updated 7 months ago
- remaining useful life, residual useful life, remaining life estimation, survival analysis, degradation models, run-to-failure models, con…☆26Oct 29, 2026Updated last week
- Remaining useful life prediction for turbofan engine data (C-MAPSS)☆37Feb 14, 2020Updated 6 years ago
- Remaining useful life prediction for N-CMAPSS dataset☆20Mar 11, 2022Updated 4 years ago
- ☆25Feb 4, 2023Updated 3 years ago
- The implementation of Privacy-Preserving Adaptive Remaining Useful Life Prediction via Source-Free Domain Adaption in PyTorch.☆31Mar 4, 2025Updated last year
- Forecasting remaining useful life: Interpretable deep learning approach via variational Bayesian inferences☆12Jul 9, 2019Updated 7 years ago
- PyTorch implementation of remaining useful life prediction with long-short term memories (LSTM), performing on NASA C-MAPSS data sets. Pa…☆187Jul 5, 2021Updated 5 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Prediction of Remaining Useful Life under both centralised and federated learning environments, using the FD001 - FD004 Turbofan Engine D…☆12Aug 31, 2022Updated 4 years ago
- Remaining useful life prediction of aero-engines via domain-invariant and -specific features under the scenarios of working-condition shi…☆15May 12, 2023Updated 3 years ago
- Pytorch implementation for Domain Adaptive Remaining Useful Life Prediction with Transformer☆95Jun 19, 2023Updated 3 years ago
- Unofficial PyTorch implementation of the paper "Variational encoding approach for interpretable assessment of remaining useful life estim…☆24May 9, 2022Updated 4 years ago
- Prediction of remaining useful life (RUL)☆17Feb 23, 2018Updated 8 years ago
- Attention-based multihead model for optimized aircraft engine remaining useful life prediction☆64May 23, 2024Updated 2 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…☆105Jul 5, 2021Updated 5 years ago
- Multi-channel Transformer for battery remaining useful life prediction☆20Apr 7, 2021Updated 5 years ago
- This code is for paper "KDnet-RUL: A knowledge distillation framework to compress deep neural networks for machine remaining learning use…☆18Mar 24, 2023Updated 3 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- The project focuses on prediction of RUL (Remaining Useful Life) of aircraft engine. The acitivity is carried out in PyTorch frameowrk us…☆12Dec 20, 2021Updated 4 years ago
- A PyTorch implimentation of a conditional Dynamical Variational Autoencoder for remaining useful life estimation☆13Sep 20, 2023Updated 3 years ago
- Remaining Useful Life (RUL) prediction for Turbofan Engines☆31Nov 16, 2021Updated 4 years ago
- Prediction of Remaining Useful Life (RUL) of NASA Turbofan Jet Engine using libraries such as Numpy, Matplotlib and Pandas. Prediction is…☆10Apr 18, 2021Updated 5 years ago
- The source code of paper: Trend attention fully convolutional network for remaining useful life estimation in the turbofan engine PHM of …☆72Feb 18, 2023Updated 3 years ago
- Core codes for the paper ["A General Data-driven Framework for Remaining Useful Life Estimation with Uncertainty Quantification Using Spl…☆14Jan 17, 2024Updated 2 years ago
- The implementation of Weighted Adversarial Domain Adaptation for Machine Remaining Useful Life Prediction in PyTorch.☆39Oct 9, 2023Updated 3 years ago