VNemani14 / Bearing_LSTMPrognostics
This repository contains parts of code for the publication "Ensembles of Probabilistic LSTM Predictors and Correctors for Bearing Prognostics Using Industrial Standards" by Nemani et al. in Neurocomputing
☆9Updated 2 years ago
Alternatives and similar repositories for Bearing_LSTMPrognostics
Users that are interested in Bearing_LSTMPrognostics are comparing it to the libraries listed below
Sorting:
- Generalized Multiscale Feature Extraction for Remaining Useful Life Prediction of Bearings with Generative Adversarial Networks☆40Updated 2 years ago
- Transfer Learning on RUL estimation☆14Updated 3 years ago
- Application of Transfer Learning for RUL Prediction☆26Updated 4 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
- Paper-Reproduce: (Sensors-MDPI) Remaining Useful Life Prediction Method for Bearings Based on LSTM with Uncertainty Quantification☆26Updated 2 years ago
- Remaining useful life prediction by Transformer-based Model☆49Updated 2 years ago
- ☆19Updated 2 years ago
- Remaining useful life prediction for N-CMAPSS dataset☆18Updated 3 years ago
- case study for remaining useful life estimation☆30Updated last year
- Unofficial PyTorch implementation of the paper "Variational encoding approach for interpretable assessment of remaining useful life estim…☆21Updated 3 years ago
- ☆10Updated 4 years ago
- ☆64Updated 4 years ago
- Attention-based multihead model for optimized aircraft engine remaining useful life prediction☆54Updated 11 months ago
- Prediction of Remaining Useful Life(RUL) for Aircraft Engine Using Neural Network Models☆11Updated 6 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
- The implementation of Weighted Adversarial Domain Adaptation for Machine Remaining Useful Life Prediction in PyTorch.☆35Updated 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.☆23Updated 2 months ago
- Reamain Useful Life Prediction of Bearing☆12Updated 2 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
- Transformer implementation with PyTorch for remaining useful life prediction on turbofan engine with NASA CMAPSS data set. Inspired by Mo…☆23Updated 2 years ago
- ☆15Updated 2 years ago
- ☆21Updated 4 years ago
- ☆31Updated last year
- ☆10Updated last year
- 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
- Bearing remaining useful life prediction using support vector machine and hybrid degradation tracking model - Implementation of Research …☆45Updated 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
- Remain useful life prediction of rolling bearing.☆57Updated 4 years ago
- Using LSTM to predict bearings' remaining useful life☆48Updated 4 years ago