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
☆12Jul 19, 2022Updated 3 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:
- ☆19Jun 20, 2022Updated 3 years ago
- Recurrent Plot on Multivariate Time Series Windows for Transfer Learning–based RUL estimation☆14Mar 28, 2022Updated 3 years ago
- Generalized Multiscale Feature Extraction for Remaining Useful Life Prediction of Bearings with Generative Adversarial Networks☆46May 30, 2022Updated 3 years ago
- ☆12Aug 17, 2020Updated 5 years ago
- Reamain Useful Life Prediction of Bearing☆13Nov 22, 2022Updated 3 years ago
- Remain useful life prediction of rolling bearing.☆58Oct 30, 2020Updated 5 years ago
- Application of Transfer Learning for RUL Prediction☆30Apr 12, 2021Updated 4 years ago
- Finding lifetime a bearing using IOT data and Remaining Utility Life (RUL)☆17Jul 3, 2018Updated 7 years ago
- In this Deep Neural Network has been used to predict the remaining useful life of Lithium Ion Battery.☆17Aug 5, 2021Updated 4 years ago
- ☆23Sep 28, 2022Updated 3 years ago
- Remaining useful life prediction by Transformer-based Model☆54Aug 19, 2022Updated 3 years ago
- A project focused on the improvement for remaining useful life estimation.☆22Jul 7, 2017Updated 8 years ago
- to prediction the remain useful life of bearing based on 2012 PHM data☆310Jan 17, 2021Updated 5 years ago
- ☆58Jan 18, 2026Updated last month
- Predicting Usable Lifetime of Lithium Ion Batteries☆26Mar 15, 2018Updated 7 years ago
- Using knowledge-informed machine learning on the PRONOSTIA (FEMTO) and IMS bearing data sets. Predict remaining-useful-life (RUL).☆171Mar 17, 2023Updated 2 years ago
- LSTM Neural Network to predict NASA's engines failure based on know failures and parameters.☆25Mar 4, 2018Updated 8 years ago
- remaining Useful Life (RUL) Prediction of Mechanical Bearings using Continuous Wavelet Transform (CWT), Convolution Neural Network (CNN),…☆201Apr 6, 2024Updated last year
- ☆66Nov 30, 2020Updated 5 years ago
- ☆33Aug 24, 2023Updated 2 years ago
- case study for remaining useful life estimation☆34Apr 15, 2024Updated last year
- Master thesis - Fuel cell parameters identification and model classification☆10Dec 3, 2019Updated 6 years ago
- Remaining useful life prediction for turbofan engine data (C-MAPSS)☆37Feb 14, 2020Updated 6 years ago
- 基于Java+Springboot+Vue的教务管理系统(源代码+数据库)1、学生： 登录、首页统计、学生选课、成绩查询、个人课表、学生评价、教学计 划、培养方案、个人中心、密码修改2、教师： 成绩录入、课程评价查询、选课申请、个人信息、个人课表、成绩统计3、教务人员： 学院…☆13Jan 10, 2025Updated last year
- seanlau-flair / unsupervised-remaining-useful-life-prediction-for-bearings-with-virtual-health-index☆10Dec 8, 2022Updated 3 years ago
- Predict remaining useful life of a machine from it's historical data using CNN and LSTM☆34May 6, 2019Updated 6 years ago
- Repository code to support paper TCHES2020 paper "Remove Some Noise: On Pre-processing of Side-channel Measurements with Autoencoders"☆13Jun 4, 2022Updated 3 years ago
- One model for RUL and fault prognostic prediction on XJTU bearing dataset☆100Aug 13, 2019Updated 6 years ago
- ☆13Dec 17, 2021Updated 4 years ago
- Bilevel optimization library of test problems☆10Dec 19, 2024Updated last year
- MIDS Capstone Project, Duke University, 2021☆10Apr 28, 2021Updated 4 years ago
- 🧬 Non-linear feature reduction using Deep Autoencoders and Breast Cancer classification.☆11Mar 7, 2022Updated 3 years ago
- ☆11Sep 6, 2025Updated 5 months ago
- Using a very fast denoising autoencoder☆18Jun 21, 2014Updated 11 years ago
- ☆11Oct 6, 2020Updated 5 years ago
- Library for fault Modelling in Modelica☆10Sep 3, 2025Updated 6 months ago
- Transformer implementation with PyTorch for remaining useful life prediction on turbofan engine with NASA CMAPSS data set. Inspired by Mo…☆291Oct 26, 2021Updated 4 years ago
- Python scripts for wind turbine main bearing fatigue life estimation with physics-informed neural networks☆118Jul 20, 2022Updated 3 years ago
- ☆10Aug 25, 2022Updated 3 years ago