ruibing-jin / Bi_LSTM_TS
This is an official code of "Bi-LSTM based Two-Stream Network for Machine Remaining Useful Life Prediction"
☆14Updated last year
Alternatives and similar repositories for Bi_LSTM_TS:
Users that are interested in Bi_LSTM_TS are comparing it to the libraries listed below
- Produce an example using LSTM to predict remaining useful life of machinery☆15Updated last year
- Unofficial PyTorch implementation of the paper "Variational encoding approach for interpretable assessment of remaining useful life estim…☆21Updated 2 years ago
- Remaining useful life prediction for N-CMAPSS dataset☆18Updated 3 years ago
- The project focuses on prediction of RUL (Remaining Useful Life) of aircraft engine. The acitivity is carried out in PyTorch frameowrk us…☆11Updated 3 years ago
- ☆21Updated 2 years ago
- Reamain Useful Life Prediction of Bearing☆12Updated 2 years ago
- GLIN: Remaining useful life prediction based on fusion of global and local information (Transformer)☆31Updated last year
- 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.☆22Updated last month
- ☆15Updated 2 years ago
- This project aims to propose a TCN-Based Bayesian neural nework that is used for remaining useful life prediction.☆21Updated 3 years ago
- The implementation of Weighted Adversarial Domain Adaptation for Machine Remaining Useful Life Prediction in PyTorch.☆34Updated last year
- The code for paper "Position Encoding based Convolutional Neural Networks for Machine Remaining Useful Life Prediction"☆14Updated 2 years ago
- ☆10Updated last year
- This repository is the implementation for the paper Supervised Contrastive Learning based Dual-Mixer Model for Remaining Useful Life Pred…☆13Updated 5 months ago
- This code is for paper "KDnet-RUL: A knowledge distillation framework to compress deep neural networks for machine remaining learning use…☆15Updated 2 years ago
- Mixup Domain Adaptations for Dynamic Remaining Useful Life Predictions☆29Updated last month
- Variational encoding based on factorized temporal-channel fusion and feature fusion for interpretable remaining useful life prediction☆24Updated 11 months ago
- Transformer implementation with PyTorch for remaining useful life prediction on turbofan engine with NASA CMAPSS data set. Inspired by Mo…☆23Updated 2 years ago
- case study for remaining useful life estimation☆31Updated last year
- We have developed an innovative deep learning model, PSECNet, for the prediction of bearing Remaining Useful Life (RUL) on the IEEE 2012 …☆28Updated 9 months ago
- Paper-Reproduce: (Sensors-MDPI) Remaining Useful Life Prediction Method for Bearings Based on LSTM with Uncertainty Quantification☆27Updated 2 years ago
- Remaining useful life prediction by Transformer-based Model☆49Updated 2 years ago
- Remaining Useful Life prediction with a Deep Self-Supervised Learning Approach☆20Updated last year
- Proposed ATS2S model for C-MAPSS dataset.☆15Updated 3 years ago
- ☆10Updated 4 years ago
- 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…☆13Updated last year
- unofficial reproduction of: a transferable lithium-ion battery remaining useful life prediction method from cycle-consistency of degradat…☆20Updated last year
- ☆15Updated 4 years ago
- Estimation of RUL (Remaining Useful Life) of NASA Turbobfan Engine☆8Updated 3 years ago
- PyTorch implementation of remaining useful life prediction with long-short term memories (LSTM), performing on NASA C-MAPSS data sets. Pa…☆14Updated 2 years ago