Zzzsdu / DASTLinks
The code of DAST
☆60Updated 2 years ago
Alternatives and similar repositories for DAST
Users that are interested in DAST are comparing it to the libraries listed below
Sorting:
- Pytorch implementation for Domain Adaptive Remaining Useful Life Prediction with Transformer☆69Updated 2 years ago
- Remaining useful life prediction by Transformer-based Model☆51Updated 2 years ago
- RUL prediction for C-MAPSS dataset, reproduction of this paper: https://personal.ntu.edu.sg/xlli/publication/RULAtt.pdf☆101Updated 2 years ago
- ☆55Updated 2 years ago
- Estimating Remaining Useful Life of a Turbofan Jet Engine using NCMAPSS dataset☆32Updated 2 years ago
- RUL prediction for Turbofan Engine (CMAPSS dataset) using CNN☆117Updated 4 years ago
- Generalized Multiscale Feature Extraction for Remaining Useful Life Prediction of Bearings with Generative Adversarial Networks☆41Updated 3 years ago
- case study for remaining useful life estimation☆33Updated last year
- Remain useful life prediction of rolling bearing.☆57Updated 4 years ago
- Attention-based multihead model for optimized aircraft engine remaining useful life prediction☆55Updated last year
- PyTorch implementation of CNN for remaining useful life prediction. Inspired by Babu, G. S., Zhao, P., & Li, X. L. (2016, April). Deep co…☆91Updated 4 years ago
- ☆33Updated 3 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
- GLIN: Remaining useful life prediction based on fusion of global and local information (Transformer)☆31Updated last year
- PyTorch implementation of remaining useful life prediction with long-short term memories (LSTM), performing on NASA C-MAPSS data sets. Pa…☆151Updated 4 years ago
- ☆19Updated 3 years ago
- remaining Useful Life (RUL) Prediction of Mechanical Bearings using Continuous Wavelet Transform (CWT), Convolution Neural Network (CNN),…☆167Updated last year
- Remaining useful life prediction for N-CMAPSS dataset☆18Updated 3 years ago
- Using LSTM to predict bearings' remaining useful life☆48Updated 4 years ago
- ☆100Updated last year
- Use GRU,LSTM,CNN to predict the RUL in C-MAPSS dataset☆25Updated last year
- Bearing remaining useful life prediction using support vector machine and hybrid degradation tracking model - Implementation of Research …☆46Updated 3 years ago
- Application of Transfer Learning for RUL Prediction☆27Updated 4 years ago
- Variational encoding based on factorized temporal-channel fusion and feature fusion for interpretable remaining useful life prediction☆26Updated last year
- We have developed an innovative deep learning model, PSECNet, for the prediction of bearing Remaining Useful Life (RUL) on the IEEE 2012 …☆28Updated last year
- Transfer Learning on RUL estimation☆14Updated 3 years ago
- ☆67Updated 4 years ago
- ☆64Updated 4 years ago
- The implementation of Weighted Adversarial Domain Adaptation for Machine Remaining Useful Life Prediction in PyTorch.☆35Updated last year