xizhihina / Turbofan-RUL-PredictionLinks
Use GRU,LSTM,CNN to predict the RUL in C-MAPSS dataset
☆26Updated last year
Alternatives and similar repositories for Turbofan-RUL-Prediction
Users that are interested in Turbofan-RUL-Prediction are comparing it to the libraries listed below
Sorting:
- The code of DAST☆60Updated 2 years ago
- Implementation of GCU-Transformer for RUL Prediction on CMAPSS☆37Updated 3 months ago
- The source code of paper: Trend attention fully convolutional network for remaining useful life estimation in the turbofan engine PHM of …☆57Updated 2 years ago
- Pytorch implementation for Domain Adaptive Remaining Useful Life Prediction with Transformer☆69Updated 2 years ago
- Estimating Remaining Useful Life of a Turbofan Jet Engine using NCMAPSS dataset☆35Updated 2 years ago
- Remaining useful life prediction by Transformer-based Model☆51Updated 2 years ago
- ☆55Updated 2 years ago
- RUL prediction for C-MAPSS dataset, reproduction of this paper: https://personal.ntu.edu.sg/xlli/publication/RULAtt.pdf☆102Updated 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…☆92Updated 4 years ago
- Attention-based multihead model for optimized aircraft engine remaining useful life prediction☆56Updated last year
- case study for remaining useful life estimation☆33Updated last year
- Benmarking for GNN-based RUL prediction☆33Updated 10 months ago
- Variational encoding based on factorized temporal-channel fusion and feature fusion for interpretable remaining useful life prediction☆26Updated last year
- ☆19Updated 3 years ago
- GLIN: Remaining useful life prediction based on fusion of global and local information (Transformer)☆31Updated last year
- Remain useful life prediction of rolling bearing.☆58Updated 4 years ago
- Remaining useful life prediction for N-CMAPSS dataset☆18Updated 3 years ago
- RUL prediction for Turbofan Engine (CMAPSS dataset) using CNN☆119Updated 4 years ago
- ☆33Updated 3 years ago
- ☆23Updated 4 years ago
- We have developed an innovative deep learning model, PSECNet, for the prediction of bearing Remaining Useful Life (RUL) on the IEEE 2012 …☆29Updated last year
- TL-UESTC / Privacy-Preserving-Adaptive-Remaining-Useful-Life-Prediction-via-Source-Free-Domain-AdaptionThe implementation of Privacy-Preserving Adaptive Remaining Useful Life Prediction via Source-Free Domain Adaption in PyTorch.☆23Updated 5 months ago
- ☆100Updated last year
- PyTorch implementation of remaining useful life prediction with long-short term memories (LSTM), performing on NASA C-MAPSS data sets. Pa…☆153Updated 4 years ago
- Generalized Multiscale Feature Extraction for Remaining Useful Life Prediction of Bearings with Generative Adversarial Networks☆41Updated 3 years ago
- remaining Useful Life (RUL) Prediction of Mechanical Bearings using Continuous Wavelet Transform (CWT), Convolution Neural Network (CNN),…☆167Updated last year
- A collection of unsupervised domain adaption algorithms for RUL estimation.☆36Updated last year
- Using LSTM to predict bearings' remaining useful life☆48Updated 4 years ago
- The implementation of Weighted Adversarial Domain Adaptation for Machine Remaining Useful Life Prediction in PyTorch.☆35Updated last year
- 基于深度学习的机械故障诊断☆35Updated last year