ddrrrr / projectRUL
to prediction the remain useful life of bearing based on 2012 PHM data
☆276Updated 4 years ago
Alternatives and similar repositories for projectRUL:
Users that are interested in projectRUL are comparing it to the libraries listed below
- ☆64Updated 4 years ago
- Remaining Useful Life Prediction Using RNN/LSTM/GRU Neural Networks☆126Updated 3 years ago
- 智能故障诊断和寿命预测期刊（Journals of Intelligent Fault Diagnosis and Remaining Useful Life）☆323Updated 2 months ago
- RUL prediction for Turbofan Engine (CMAPSS dataset) using CNN☆109Updated 4 years ago
- PyTorch implementation of remaining useful life prediction with long-short term memories (LSTM), performing on NASA C-MAPSS data sets. Pa…☆140Updated 3 years ago
- Transformer implementation with PyTorch for remaining useful life prediction on turbofan engine with NASA CMAPSS data set. Inspired by Mo…☆243Updated 3 years ago
- This is the corresponding repository of paper Limited Data Rolling Bearing Fault Diagnosis with Few-shot Learning☆312Updated 2 years ago
- ☆197Updated 5 years ago
- Deep learning in PHM，Deep learning in fault diagnosis，Deep learning in remaining useful life prediction☆424Updated 3 years ago
- One model for RUL and fault prognostic prediction on XJTU bearing dataset☆90Updated 5 years ago
- remaining Useful Life (RUL) Prediction of Mechanical Bearings using Continuous Wavelet Transform (CWT), Convolution Neural Network (CNN),…☆142Updated 10 months ago
- Bearing fault diagnosis model based on MCNN-LSTM☆283Updated last year
- 基于注意力机制的少量样本故障诊断 pytorch☆211Updated 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…☆87Updated 3 years ago
- 1DCNN Fault Detection（1DCNN的轴承故障诊断）☆148Updated 2 years ago
- ☆59Updated 5 years ago
- A transfer learning fault diagnosis repository covering popular algorithms☆214Updated 6 months ago
- this code library is mainly about applying graph neural networks to intelligent diagnostic and prognostic.☆237Updated 2 years ago
- RUL prediction for C-MAPSS dataset, reproduction of this paper: https://personal.ntu.edu.sg/xlli/publication/RULAtt.pdf☆94Updated last year
- Using LSTM to predict bearings' remaining useful life☆47Updated 3 years ago
- 基于深度学习的滚动轴承故障诊断方法☆176Updated 5 years ago
- Code used in Thesis "Convolutional Recurrent Neural Networks for Remaining Useful Life Prediction in Mechanical Systems".☆80Updated 6 years ago
- This repository is for the transfer learning or domain adaptive with fault diagnosis.☆241Updated 2 years ago
- with LSTM method to solve bearing fault diagnosis classification☆63Updated 7 years ago
- Using LSTM to predict Remaining Useful Life of CMAPSS Dataset☆85Updated 6 years ago
- CNN for mechanical fault diagnosis☆293Updated 6 years ago
- Remaining useful life prediction for turbofan engine data (C-MAPSS)☆32Updated 5 years ago
- 完整的航空发动机一维卷积神经网络训练模型☆56Updated 5 years ago
- Deep learning approach for estimation of Remaining Useful Life (RUL) of an engine☆237Updated 4 years ago
- Dataset that was used during the IEEE PHM 2012 Data Challenge, built by the FEMTO-ST Institute☆131Updated 5 years ago