hash-bash / NASA-Jet-Engine-RUL-Prediction-Notebook
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).
☆12Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for NASA-Jet-Engine-RUL-Prediction-Notebook
- Remaining Useful Life (RUL) prediction for Turbofan Engines☆27Updated 3 years ago
- remaining useful life, residual useful life, remaining life estimation, survival analysis, degradation models, run-to-failure models, con…☆26Updated 3 years ago
- Bayesian Deep Learning for Remaining Useful Life Estimation of Machine Tool Components☆16Updated 2 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…☆12Updated last year
- A PyTorch implimentation of a conditional Dynamical Variational Autoencoder for remaining useful life estimation☆9Updated last year
- This repository holds the results of a project on Remaining Useful Lifetime estimation of a turbofan engine for a course of Delft Univers…☆13Updated 6 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…☆4Updated 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…☆10Updated 2 years ago
- Evolutionary Neural Architecture Search for Remaining Useful Life Prediction☆27Updated last year
- Paper-Reproduce: (Sensors-MDPI) Remaining Useful Life Prediction Method for Bearings Based on LSTM with Uncertainty Quantification☆19Updated last year
- Transformer implementation with PyTorch for remaining useful life prediction on turbofan engine with NASA CMAPSS data set. Inspired by Mo…☆22Updated last year
- Remaining useful life estimation of NASA turbofan jet engines using data driven approaches which include regression models, LSTM neural n…☆26Updated 3 years ago
- This project aims to propose a TCN-Based Bayesian neural nework that is used for remaining useful life prediction.☆18Updated 3 years ago
- ☆10Updated 4 years ago
- Multi-Objective Optimization of ELM for RUL Prediction☆14Updated 2 years ago
- The source code of paper: Trend attention fully convolutional network for remaining useful life estimation in the turbofan engine PHM of …☆49Updated last year
- Reamain Useful Life Prediction of Bearing☆9Updated 2 years ago
- ☆15Updated 2 years ago
- Baseline study on the development of predictive maintenance techniques using open data. Two problems are discussed: classifying a vibrati…☆20Updated 3 years ago
- This is an official code of "Bi-LSTM based Two-Stream Network for Machine Remaining Useful Life Prediction"☆14Updated 11 months ago
- Produce an example using LSTM to predict remaining useful life of machinery☆13Updated 10 months ago
- Remaining useful life prediction for N-CMAPSS dataset☆18Updated 2 years ago
- Remaining Useful Life prediction with a Deep Self-Supervised Learning Approach☆18Updated 10 months ago
- Attention-based multihead model for optimized aircraft engine remaining useful life prediction☆45Updated 6 months ago
- case study for remaining useful life estimation☆23Updated 7 months ago
- Unofficial PyTorch implementation of the paper "Variational encoding approach for interpretable assessment of remaining useful life estim…☆20Updated 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…☆12Updated 8 months ago
- ProFeld: survival analysis, predictive maintenance, churn analysis, and remaining useful life prediction in Python☆21Updated last year
- Transfer Learning on RUL estimation☆10Updated 2 years ago
- A collection of unsupervised domain adaption algorithms for RUL estimation.☆33Updated 7 months ago