survml / survml-transformer-rul-prediction
Transformer implementation with PyTorch for remaining useful life prediction on turbofan engine with NASA CMAPSS data set. Inspired by Mo, Y., Wu, Q., Li, X., & Huang, B. (2021). Remaining useful life estimation via transformer encoder enhanced by a gated convolutional unit. Journal of Intelligent Manufacturing, 1-10.
☆22Updated last year
Related projects: ⓘ
- Unofficial PyTorch implementation of the paper "Variational encoding approach for interpretable assessment of remaining useful life estim…☆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
- case study for remaining useful life estimation☆19Updated 5 months ago
- Produce an example using LSTM to predict remaining useful life of machinery☆12Updated 8 months ago
- ☆13Updated 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
- GLIN: Remaining useful life prediction based on fusion of global and local information (Transformer)☆28Updated 11 months ago
- ☆17Updated last year
- The unofficial reproduction of: A transferable lithium-ion battery remaining useful life prediction method from cycle-consistency of degr…☆15Updated 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 with a Deep Self-Supervised Learning Approach☆17Updated 8 months ago
- Remaining useful life prediction for N-CMAPSS dataset☆16Updated 2 years ago
- Proposed ATS2S model for C-MAPSS dataset.☆14Updated 2 years ago
- Application of Transfer Learning for RUL Prediction☆24Updated 3 years ago
- Mixup Domain Adaptations for Dynamic Remaining Useful Life Predictions☆18Updated last year
- Transfer Learning on RUL estimation☆11Updated 2 years ago
- Pytorch implementation for Domain Adaptive Remaining Useful Life Prediction with Transformer☆47Updated last year
- The source code of paper: Trend attention fully convolutional network for remaining useful life estimation in the turbofan engine PHM of …☆48Updated last year
- 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 2 years ago
- Remaining useful life prediction by Transformer-based Model☆36Updated 2 years ago
- Attention-based multihead model for optimized aircraft engine remaining useful life prediction☆42Updated 3 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
- Implementation of GCU-Transformer for RUL Prediction on CMAPSS☆27Updated last year
- Estimating Remaining Useful Life of a Turbofan Jet Engine using NCMAPSS dataset☆19Updated last year
- foryichuanqi / ADVEI-Paper-2024.3-Degradation-path-approximation-for-remaining-useful-life-estimationRemaining useful life prediction. Degradation path approximation (DPA) is a highly easy-to-understand and brand-new solution way for data…☆10Updated 6 months ago
- ☆56Updated 3 years ago
- Graph Convolutional Network for RUL prediction with multi-sensor signals☆17Updated last year
- This is an official code of "Bi-LSTM based Two-Stream Network for Machine Remaining Useful Life Prediction"☆12Updated 9 months ago
- The implementation of Weighted Adversarial Domain Adaptation for Machine Remaining Useful Life Prediction in PyTorch.☆27Updated 11 months ago