StarMarco / DVAE_torch
A PyTorch implimentation of a conditional Dynamical Variational Autoencoder for remaining useful life estimation
☆10Updated last year
Alternatives and similar repositories for DVAE_torch:
Users that are interested in DVAE_torch are comparing it to the libraries listed below
- This project aims to propose a TCN-Based Bayesian neural nework that is used for remaining useful life prediction.☆19Updated 3 years ago
- Unofficial PyTorch implementation of the paper "Variational encoding approach for interpretable assessment of remaining useful life estim…☆21Updated 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.☆19Updated 11 months ago
- Mixup Domain Adaptations for Dynamic Remaining Useful Life Predictions☆26Updated last year
- ☆15Updated 2 years ago
- ☆20Updated 2 years ago
- This project uses Transformer-based RNN model to predict the remaining useful life (RUL) of turbo fan jet engines using NASA's C-MAPSS si…☆13Updated last year
- GLIN: Remaining useful life prediction based on fusion of global and local information (Transformer)☆31Updated last year
- Bayesian Deep Learning for Remaining Useful Life Estimation of Machine Tool Components☆16Updated 2 years ago
- This code is for paper "KDnet-RUL: A knowledge distillation framework to compress deep neural networks for machine remaining learning use…☆13Updated last year
- Variational encoding based on factorized temporal-channel fusion and feature fusion for interpretable remaining useful life prediction☆23Updated 9 months ago
- Paper-Reproduce: (Sensors-MDPI) Remaining Useful Life Prediction Method for Bearings Based on LSTM with Uncertainty Quantification☆23Updated last year
- We have developed an innovative deep learning model, PSECNet, for the prediction of bearing Remaining Useful Life (RUL) on the IEEE 2012 …☆24Updated 7 months ago
- Transformer implementation with PyTorch for remaining useful life prediction on turbofan engine with NASA CMAPSS data set. Inspired by Mo…☆22Updated 2 years ago
- Implementation of GCU-Transformer for RUL Prediction on CMAPSS☆35Updated last year
- Evolutionary Neural Architecture Search for Remaining Useful Life Prediction☆28Updated last year
- Application of Transfer Learning for RUL Prediction☆25Updated 3 years ago
- The implementation of Weighted Adversarial Domain Adaptation for Machine Remaining Useful Life Prediction in PyTorch.☆33Updated last year
- This repository is the implementation for the paper Supervised Contrastive Learning based Dual-Mixer Model for Remaining Useful Life Pred…☆12Updated 2 months ago
- Produce an example using LSTM to predict remaining useful life of machinery☆14Updated last year
- Proposed ATS2S model for C-MAPSS dataset.☆15Updated 3 years ago
- Transfer Learning on RUL estimation☆11Updated 2 years ago
- Remaining useful life prediction by Transformer-based Model☆46Updated 2 years ago
- ☆29Updated last year
- Unofficial reproduction of: A transferable lithium-ion battery remaining useful life prediction method from cycle-consistency of degradat…☆19Updated last year
- Remaining useful life prediction for N-CMAPSS dataset☆18Updated 2 years ago
- case study for remaining useful life estimation☆26Updated 10 months ago
- A collection of unsupervised domain adaption algorithms for RUL estimation.☆35Updated 9 months ago
- This is an official code of "Bi-LSTM based Two-Stream Network for Machine Remaining Useful Life Prediction"☆14Updated last year
- Code for Remaining Useful Life Prediction of Lithium-ion Batteries using Spatio-temporal Multimodal Attention Networks☆25Updated 8 months ago