joeljang / Remaining-Useful-Life-Prediction
Remaining Useful Life prediction of machinery using a novel data wrangling method and CNN-LSTM network for prediction
☆21Updated 4 years ago
Related projects: ⓘ
- ☆13Updated 2 years ago
- case study for remaining useful life estimation☆19Updated 5 months ago
- ☆14Updated 2 years ago
- PyTorch implementation of remaining useful life prediction with long-short term memories (LSTM), performing on NASA C-MAPSS data sets. Pa…☆12Updated last year
- ☆14Updated 3 years ago
- Pytorch implementation for Domain Adaptive Remaining Useful Life Prediction with Transformer☆47Updated last year
- Attention-based multihead model for optimized aircraft engine remaining useful life prediction☆42Updated 3 months ago
- Remaining Useful Life prediction with a Deep Self-Supervised Learning Approach☆17Updated 8 months ago
- The source code of paper: Trend attention fully convolutional network for remaining useful life estimation in the turbofan engine PHM of …☆48Updated last year
- Paper-Reproduce: (Sensors-MDPI) Remaining Useful Life Prediction Method for Bearings Based on LSTM with Uncertainty Quantification☆15Updated last year
- Remaining useful life prediction for N-CMAPSS dataset☆16Updated 2 years ago
- This project aims to propose a TCN-Based Bayesian neural nework that is used for remaining useful life prediction.☆15Updated 3 years ago
- Evolutionary Neural Architecture Search for Remaining Useful Life Prediction☆25Updated last year
- Transformer implementation with PyTorch for remaining useful life prediction on turbofan engine with NASA CMAPSS data set. Inspired by Mo…☆22Updated last year
- Application of Transfer Learning for RUL Prediction☆24Updated 3 years ago
- ☆56Updated 3 years ago
- Reamain Useful Life Prediction of Bearing☆9Updated last year
- Remain useful life prediction of rolling bearing.☆45Updated 3 years ago
- Bearing remaining useful life prediction using support vector machine and hybrid degradation tracking model - Implementation of Research …☆39Updated 2 years ago
- Generalized Multiscale Feature Extraction for Remaining Useful Life Prediction of Bearings with Generative Adversarial Networks☆36Updated 2 years ago
- Multi-Objective Optimization of ELM for RUL Prediction☆14Updated 2 years ago
- Produce an example using LSTM to predict remaining useful life of machinery☆12Updated 8 months ago
- Official implementation of https://arxiv.org/abs/1911.06256. Bayesian and frequentist deep learning models for remaining useful life (RUL…☆18Updated 4 years ago
- Unofficial PyTorch implementation of the paper "Variational encoding approach for interpretable assessment of remaining useful life estim…☆16Updated 2 years ago
- Few-shot Transfer Learning for Intelligent Fault Diagnosis of Machine☆17Updated 4 years ago
- This LSTM is used to predict the rest useful lifetime of ball-bearings. Its programmed with Pytorch and uses the PRONOSTIA Dataset.☆18Updated 4 years ago
- For better estimation of aero-engine RUL, we concatenate 1-D CNN and LSTM in a parallel structure.☆12Updated 4 years ago
- The implementation of Weighted Adversarial Domain Adaptation for Machine Remaining Useful Life Prediction in PyTorch.☆27Updated 11 months ago
- Remaining useful life prediction by Transformer-based Model☆36Updated 2 years ago
- 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.☆14Updated 6 months ago