mohyunho / MOO_ELMLinks
Multi-Objective Optimization of ELM for RUL Prediction
☆14Updated 3 years ago
Alternatives and similar repositories for MOO_ELM
Users that are interested in MOO_ELM are comparing it to the libraries listed below
Sorting:
- Bayesian Deep Learning for Remaining Useful Life Estimation of Machine Tool Components☆15Updated 3 years ago
- Evolutionary Neural Architecture Search for Remaining Useful Life Prediction☆27Updated 2 years ago
- Transformer implementation with PyTorch for remaining useful life prediction on turbofan engine with NASA CMAPSS data set. Inspired by Mo …☆24Updated 2 years ago
- remaining useful life, residual useful life, remaining life estimation, survival analysis, degradation models, run-to-failure models, con…☆26Updated 4 years ago
- Bayesian deep learning for remaining useful life estimation via Stein variational gradient descent☆26Updated last year
- A PyTorch implimentation of a conditional Dynamical Variational Autoencoder for remaining useful life estimation☆11Updated 2 years ago
- This repository holds the results of a project on Remaining Useful Lifetime estimation of a turbofan engine for a course of Delft Univers…☆13Updated 7 years ago
- Paper-Reproduce: (Sensors-MDPI) Remaining Useful Life Prediction Method for Bearings Based on LSTM with Uncertainty Quantification☆27Updated 2 years ago
- ☆64Updated 4 years ago
- Official implementation of https://arxiv.org/abs/1911.06256. Bayesian and frequentist deep learning models for remaining useful life (RUL…☆21Updated 5 years ago
- A collection of unsupervised domain adaption algorithms for RUL estimation.☆37Updated last year
- Unofficial PyTorch implementation of the paper "Variational encoding approach for interpretable assessment of remaining useful life estim…☆23Updated 3 years ago
- Application of Transfer Learning for RUL Prediction☆28Updated 4 years ago
- The source code of paper: Trend attention fully convolutional network for remaining useful life estimation in the turbofan engine PHM of …☆58Updated 2 years ago
- Core codes for the paper ["A General Data-driven Framework for Remaining Useful Life Estimation with Uncertainty Quantification Using Spl…☆12Updated last year
- ☆15Updated 3 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…☆14Updated last year
- Bearing remaining useful life prediction using support vector machine and hybrid degradation tracking model - Implementation of Research …☆49Updated 3 years ago
- Produce an example using LSTM to predict remaining useful life of machinery☆16Updated last year
- ☆22Updated 2 years ago
- Source code of the paper "A stacked DCNN to predict the RUL of a turbofan engine", third place ranked in the PHM21 data challenge.☆83Updated 2 years ago
- This repository is the implementation for the paper Supervised Contrastive Learning based Dual-Mixer Model for Remaining Useful Life Pred…☆20Updated 10 months ago
- seanlau-flair / unsupervised-remaining-useful-life-prediction-for-bearings-with-virtual-health-index☆10Updated 2 years ago
- Remaining Useful Life (RUL) prediction for Turbofan Engines☆27Updated 3 years ago
- Remaining Useful Life prediction with a Deep Self-Supervised Learning Approach☆20Updated last year
- 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
- Evolutionary Neural Architecture Search on Transformers for RUL Prediction☆47Updated 2 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
- ☆12Updated last year
- N-CMAPSS data preparation for Machine Learning and Deep Learning models. (Python source code for new CMAPSS dataset)☆96Updated 2 years ago