VNemani14 / Bearing_LSTMPrognosticsLinks
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:
- Transfer Learning on RUL estimation☆14Updated 3 years ago
- Application of Transfer Learning for RUL Prediction☆27Updated 4 years ago
- ☆64Updated 4 years ago
- Generalized Multiscale Feature Extraction for Remaining Useful Life Prediction of Bearings with Generative Adversarial Networks☆41Updated 3 years ago
- Attention-based multihead model for optimized aircraft engine remaining useful life prediction☆55Updated last year
- Remaining useful life prediction by Transformer-based Model☆51Updated 2 years ago
- ☆19Updated 3 years ago
- Remain useful life prediction of rolling bearing.☆57Updated 4 years ago
- case study for remaining useful life estimation☆33Updated last year
- PyTorch implementation of CNN for remaining useful life prediction. Inspired by Babu, G. S., Zhao, P., & Li, X. L. (2016, April). Deep co…☆91Updated 4 years ago
- Pytorch implementation for Domain Adaptive Remaining Useful Life Prediction with Transformer☆69Updated 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
- RUL prediction for Turbofan Engine (CMAPSS dataset) using CNN☆117Updated 4 years ago
- ☆10Updated 4 years ago
- remaining Useful Life (RUL) Prediction of Mechanical Bearings using Continuous Wavelet Transform (CWT), Convolution Neural Network (CNN),…☆167Updated last year
- The source code of paper: Trend attention fully convolutional network for remaining useful life estimation in the turbofan engine PHM of …☆57Updated 2 years ago
- PyTorch implementation of remaining useful life prediction with long-short term memories (LSTM), performing on NASA C-MAPSS data sets. Pa…☆152Updated 4 years ago
- Bearing remaining useful life prediction using support vector machine and hybrid degradation tracking model - Implementation of Research …☆46Updated 3 years ago
- Using LSTM to predict bearings' remaining useful life☆48Updated 4 years ago
- This project aims to propose a TCN-Based Bayesian neural nework that is used for remaining useful life prediction.☆22Updated 4 years ago
- ☆55Updated 2 years ago
- Unofficial PyTorch implementation of the paper "Variational encoding approach for interpretable assessment of remaining useful life estim…☆22Updated 3 years ago
- seanlau-flair / unsupervised-remaining-useful-life-prediction-for-bearings-with-virtual-health-index☆10Updated 2 years ago
- Remaining useful life prediction for turbofan engine data (C-MAPSS)☆34Updated 5 years ago
- RUL prediction for C-MAPSS dataset, reproduction of this paper: https://personal.ntu.edu.sg/xlli/publication/RULAtt.pdf☆101Updated 2 years ago
- ☆67Updated 4 years ago
- Implementation of GCU-Transformer for RUL Prediction on CMAPSS☆37Updated 3 months ago
- Remaining useful life prediction for N-CMAPSS dataset☆18Updated 3 years ago
- ☆16Updated 4 years ago
- ☆12Updated last year