hash-bash / NASA-Jet-Engine-RUL-Prediction-NotebookLinks
Prediction of Remaining Useful Life (RUL) of NASA Turbofan Jet Engine using libraries such as Numpy, Matplotlib and Pandas. Prediction is done by training a model using Keras (TensorFlow).
☆10Updated 4 years ago
Alternatives and similar repositories for NASA-Jet-Engine-RUL-Prediction-Notebook
Users that are interested in NASA-Jet-Engine-RUL-Prediction-Notebook 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
- This repository holds the results of a project on Remaining Useful Lifetime estimation of a turbofan engine for a course of Delft Univers…☆12Updated 7 years ago
- Remaining Useful Life (RUL) prediction for Turbofan Engines☆26Updated 3 years ago
- remaining useful life, residual useful life, remaining life estimation, survival analysis, degradation models, run-to-failure models, con…☆27Updated 4 years ago
- MuhammadEsmat / Predictive-Maintenance-Machine-Remaining-Useful-Life-Estimation-using-Deep-Learning-TechniqueDeep Learning algorithm Long-Short-Term-Memory (LSTM) with Feedforward Neural Network (FNN) to predict machine Remaining Useful Life (RUL…☆5Updated 4 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
- The objective of this project is to showcase how the performance of a multi-sensor system can be improved by reducing uncertainty, improv…☆11Updated 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
- A PyTorch implimentation of a conditional Dynamical Variational Autoencoder for remaining useful life estimation☆11Updated last year
- Estimation of RUL (Remaining Useful Life) of NASA Turbobfan Engine☆8Updated 3 years ago
- This is an official code of "Bi-LSTM based Two-Stream Network for Machine Remaining Useful Life Prediction"☆14Updated last year
- Multi-Objective Optimization of ELM for RUL Prediction☆14Updated 3 years ago
- seanlau-flair / unsupervised-remaining-useful-life-prediction-for-bearings-with-virtual-health-index☆10Updated 2 years 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
- Evolutionary Neural Architecture Search for Remaining Useful Life Prediction☆27Updated 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
- Paper-Reproduce: (Sensors-MDPI) Remaining Useful Life Prediction Method for Bearings Based on LSTM with Uncertainty Quantification☆26Updated 2 years ago
- ☆10Updated 4 years ago
- Prediction of Remaining Useful Life(RUL) for Aircraft Engine Using Neural Network Models☆11Updated 6 years ago
- ☆15Updated 2 years ago
- ☆22Updated 2 years ago
- Remaining Useful Life prediction with a Deep Self-Supervised Learning Approach☆20Updated last year
- 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
- Produce an example using LSTM to predict remaining useful life of machinery☆15Updated last year
- Remaining useful life prediction of aero-engines via domain-invariant and -specific features under the scenarios of working-condition shi…☆10Updated 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
- ProFeld: survival analysis, predictive maintenance, churn analysis, and remaining useful life prediction in Python☆21Updated 2 years ago
- Remaining useful life prediction for N-CMAPSS dataset☆18Updated 3 years ago
- ☆10Updated last year
- This repository contains parts of code for the publication "Ensembles of Probabilistic LSTM Predictors and Correctors for Bearing Prognos…☆9Updated 2 years ago