ZhenghuaNTU / RUL-prediction-using-attention-based-deep-learning-approachView external linksLinks
☆60Mar 24, 2023Updated 2 years ago
Alternatives and similar repositories for RUL-prediction-using-attention-based-deep-learning-approach
Users that are interested in RUL-prediction-using-attention-based-deep-learning-approach are comparing it to the libraries listed below
Sorting:
- RUL prediction for C-MAPSS dataset, reproduction of this paper: https://personal.ntu.edu.sg/xlli/publication/RULAtt.pdf☆117Apr 11, 2023Updated 2 years ago
- Predict remaining useful life of a machine from it's historical data using CNN and LSTM☆34May 6, 2019Updated 6 years ago
- 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
- Graph Convolutional Network for RUL prediction with multi-sensor signals☆20Feb 12, 2023Updated 3 years ago
- Evolutionary Neural Architecture Search on Transformers for RUL Prediction☆50Apr 18, 2023Updated 2 years ago
- Code used in Thesis "Convolutional Recurrent Neural Networks for Remaining Useful Life Prediction in Mechanical Systems".☆85Dec 7, 2018Updated 7 years ago
- Transformer implementation with PyTorch for remaining useful life prediction on turbofan engine with NASA CMAPSS data set. Inspired by Mo…☆291Oct 26, 2021Updated 4 years ago
- RUL prediction for Turbofan Engine (CMAPSS dataset) using CNN☆132Nov 6, 2020Updated 5 years ago
- This repository contains code that implement common machine learning algorithms for remaining useful life (RUL) prediction.☆215Jan 5, 2025Updated last year
- Multi-Objective Optimization of ELM for RUL Prediction☆15Jun 1, 2022Updated 3 years ago
- Remaining useful life prediction by Transformer-based Model☆54Aug 19, 2022Updated 3 years 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
- 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
- a rul prediction transfomer model☆11Jun 21, 2023Updated 2 years ago
- ☆66Nov 30, 2020Updated 5 years ago
- Application of Transfer Learning for RUL Prediction☆30Apr 12, 2021Updated 4 years ago
- GLIN: Remaining useful life prediction based on fusion of global and local information (Transformer)☆33Oct 10, 2023Updated 2 years ago
- Remaining useful life prediction for turbofan engine data (C-MAPSS)☆37Feb 14, 2020Updated 6 years ago
- Deep learning approach for estimation of Remaining Useful Life (RUL) of an engine☆248Oct 2, 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…☆101Jul 5, 2021Updated 4 years ago
- A collection of unsupervised domain adaption algorithms for RUL estimation.☆39Apr 22, 2024Updated last year
- ☆106Jan 26, 2024Updated 2 years ago
- Attention-based multihead model for optimized aircraft engine remaining useful life prediction☆58May 23, 2024Updated last year
- Remain useful life prediction of rolling bearing.☆58Oct 30, 2020Updated 5 years ago
- collection of predictive maintenance solutions for NASAs turbofan (CMAPSS) dataset☆142Jan 24, 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 …☆62Feb 18, 2023Updated 2 years ago
- Source code of the paper "A stacked DCNN to predict the RUL of a turbofan engine", third place ranked in the PHM21 data challenge.☆85Apr 2, 2023Updated 2 years ago
- The code of DAST☆62Nov 3, 2022Updated 3 years ago
- to prediction the remain useful life of bearing based on 2012 PHM data☆310Jan 17, 2021Updated 5 years ago
- Proposed ATS2S model for C-MAPSS dataset.☆16Jan 13, 2022Updated 4 years ago
- N-CMAPSS data preparation for Machine Learning and Deep Learning models. (Python source code for new CMAPSS dataset)☆104Apr 13, 2023Updated 2 years ago
- ☆72Jan 17, 2021Updated 5 years ago
- For better estimation of aero-engine RUL, we concatenate 1-D CNN and LSTM in a parallel structure.☆15Aug 28, 2020Updated 5 years ago
- One model for RUL and fault prognostic prediction on XJTU bearing dataset☆100Aug 13, 2019Updated 6 years ago
- Bearing remaining useful life prediction using support vector machine and hybrid degradation tracking model - Implementation of Research …☆52Nov 10, 2021Updated 4 years ago
- Deep learning in PHM，Deep learning in fault diagnosis，Deep learning in remaining useful life prediction☆476Mar 24, 2021Updated 4 years ago
- ☆19Jun 20, 2022Updated 3 years ago
- ☆18Jun 30, 2023Updated 2 years ago
- Bayesian Neural Networks to predict RUL on N-CMAPSS☆21Sep 26, 2022Updated 3 years ago