jiaxiang-cheng / PyTorch-CNN-for-RUL-PredictionLinks
PyTorch implementation of CNN for remaining useful life prediction. Inspired by Babu, G. S., Zhao, P., & Li, X. L. (2016, April). Deep convolutional neural network-based regression approach for estimation of remaining useful life. In International conference on database systems for advanced applications (pp. 214-228). Springer, Cham.
☆91Updated 3 years ago
Alternatives and similar repositories for PyTorch-CNN-for-RUL-Prediction
Users that are interested in PyTorch-CNN-for-RUL-Prediction are comparing it to the libraries listed below
Sorting:
- PyTorch implementation of remaining useful life prediction with long-short term memories (LSTM), performing on NASA C-MAPSS data sets. Pa…☆151Updated 3 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
- Pytorch implementation for Domain Adaptive Remaining Useful Life Prediction with Transformer☆67Updated last year
- Generalized Multiscale Feature Extraction for Remaining Useful Life Prediction of Bearings with Generative Adversarial Networks☆40Updated 3 years ago
- RUL prediction for Turbofan Engine (CMAPSS dataset) using CNN☆114Updated 4 years ago
- ☆56Updated 2 years ago
- Remaining useful life prediction by Transformer-based Model☆51Updated 2 years ago
- remaining Useful Life (RUL) Prediction of Mechanical Bearings using Continuous Wavelet Transform (CWT), Convolution Neural Network (CNN),…☆165Updated last year
- Using LSTM to predict bearings' remaining useful life☆48Updated 4 years ago
- ☆66Updated 4 years ago
- Remain useful life prediction of rolling bearing.☆57Updated 4 years ago
- Attention-based multihead model for optimized aircraft engine remaining useful life prediction☆56Updated last year
- 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
- Estimating Remaining Useful Life of a Turbofan Jet Engine using NCMAPSS dataset☆32Updated 2 years ago
- The code of DAST☆58Updated 2 years ago
- case study for remaining useful life estimation☆30Updated last year
- ☆19Updated 2 years ago
- ☆34Updated 3 years ago
- Transformer implementation with PyTorch for remaining useful life prediction on turbofan engine with NASA CMAPSS data set. Inspired by Mo…☆259Updated 3 years ago
- Bearing remaining useful life prediction using support vector machine and hybrid degradation tracking model - Implementation of Research …☆45Updated 3 years ago
- 完整的航空发动机一维卷积神经网络训练模型☆59Updated 6 years ago
- We have developed an innovative deep learning model, PSECNet, for the prediction of bearing Remaining Useful Life (RUL) on the IEEE 2012 …☆27Updated 10 months ago
- One model for RUL and fault prognostic prediction on XJTU bearing dataset☆93Updated 5 years ago
- Implementation of GCU-Transformer for RUL Prediction on CMAPSS☆37Updated last month
- ☆99Updated last year
- Remaining Useful Life Prediction Using RNN/LSTM/GRU Neural Networks☆139Updated 3 years ago
- ☆64Updated 4 years ago
- The implementation of Weighted Adversarial Domain Adaptation for Machine Remaining Useful Life Prediction in PyTorch.☆35Updated last year
- Application of Transfer Learning for RUL Prediction☆27Updated 4 years ago
- Transfer Learning on RUL estimation☆14Updated 3 years ago