DatrikIntelligence / Stacked-DCNN-RUL-PHM21
Source code of the paper "A stacked DCNN to predict the RUL of a turbofan engine", third place ranked in the PHM21 data challenge.
☆81Updated 2 years ago
Alternatives and similar repositories for Stacked-DCNN-RUL-PHM21:
Users that are interested in Stacked-DCNN-RUL-PHM21 are comparing it to the libraries listed below
- Attention-based multihead model for optimized aircraft engine remaining useful life prediction☆54Updated 11 months ago
- given run to failure measurements of various sensors on a sample of similar jet engines, estimate the remaining useful life (RUL) of a ne…☆65Updated 5 years ago
- RUL prediction for Turbofan Engine (CMAPSS dataset) using CNN☆113Updated 4 years ago
- RUL prediction for C-MAPSS dataset, reproduction of this paper: https://personal.ntu.edu.sg/xlli/publication/RULAtt.pdf☆96Updated 2 years ago
- The source code of paper: Trend attention fully convolutional network for remaining useful life estimation in the turbofan engine PHM of …☆56Updated 2 years ago
- Pytorch implementation for Domain Adaptive Remaining Useful Life Prediction with Transformer☆67Updated last year
- Remaining useful life prediction for turbofan engine data (C-MAPSS)☆33Updated 5 years ago
- ☆55Updated 2 years ago
- The code of DAST☆58Updated 2 years ago
- remaining Useful Life (RUL) Prediction of Mechanical Bearings using Continuous Wavelet Transform (CWT), Convolution Neural Network (CNN),…☆159Updated last year
- Using LSTM to predict Remaining Useful Life of CMAPSS Dataset☆87Updated 6 years ago
- Code used in Thesis "Convolutional Recurrent Neural Networks for Remaining Useful Life Prediction in Mechanical Systems".☆82Updated 6 years ago
- remaining useful life, residual useful life, remaining life estimation, survival analysis, degradation models, run-to-failure models, con…☆27Updated 4 years ago
- Remain useful life prediction of rolling bearing.☆57Updated 4 years ago
- This repository contains code that implement common machine learning algorithms for remaining useful life (RUL) prediction.☆192Updated 4 months ago
- Remaining Useful Life Prediction Using RNN/LSTM/GRU Neural Networks☆138Updated 3 years ago
- Companion repository for the paper "Improving Semi-Supervised Learning for Remaining Useful Lifetime Estimation Through Self-Supervision"…☆26Updated 3 years ago
- Bearing remaining useful life prediction using support vector machine and hybrid degradation tracking model - Implementation of Research …☆45Updated 3 years ago
- One model for RUL and fault prognostic prediction on XJTU bearing dataset☆92Updated 5 years ago
- Using knowledge-informed machine learning on the PRONOSTIA (FEMTO) and IMS bearing data sets. Predict remaining-useful-life (RUL).☆150Updated 2 years ago
- Using LSTM to predict bearings' remaining useful life☆48Updated 4 years ago
- Generalized Multiscale Feature Extraction for Remaining Useful Life Prediction of Bearings with Generative Adversarial Networks☆40Updated 2 years ago
- Evolutionary Neural Architecture Search for Remaining Useful Life Prediction☆27Updated 2 years ago
- Estimating Remaining Useful Life of a Turbofan Jet Engine using NCMAPSS dataset☆31Updated 2 years ago
- Application of Transfer Learning for RUL Prediction☆26Updated 4 years ago
- ☆52Updated 2 years ago
- ☆64Updated 4 years ago
- Paper-Reproduce: (Sensors-MDPI) Remaining Useful Life Prediction Method for Bearings Based on LSTM with Uncertainty Quantification☆27Updated 2 years ago
- This repository contains data and code that implement common machine learning algorithms for machinery condition monitoring task.☆90Updated 4 months ago
- N-CMAPSS data preparation for Machine Learning and Deep Learning models. (Python source code for new CMAPSS dataset)☆88Updated 2 years ago