chavan-akshay / Condition-Monitoring-of-Aircraft-EngineLinks
The project focuses on prediction of RUL (Remaining Useful Life) of aircraft engine. The acitivity is carried out in PyTorch frameowrk using at first a simple feedforward neural network, followed by 1D convolutional neural network based model from scratch.
☆11Updated 3 years ago
Alternatives and similar repositories for Condition-Monitoring-of-Aircraft-Engine
Users that are interested in Condition-Monitoring-of-Aircraft-Engine are comparing it to the libraries listed below
Sorting:
- Remaining useful life prediction for N-CMAPSS dataset☆18Updated 3 years ago
- Reamain Useful Life Prediction of Bearing☆12Updated 2 years ago
- This is an official code of "Bi-LSTM based Two-Stream Network for Machine Remaining Useful Life Prediction"☆14Updated last year
- This project aims to propose a TCN-Based Bayesian neural nework that is used for remaining useful life prediction.☆22Updated 3 years ago
- ☆15Updated 2 years ago
- Unofficial PyTorch implementation of the paper "Variational encoding approach for interpretable assessment of remaining useful life estim…☆22Updated 3 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
- Prediction of Remaining Useful Life(RUL) for Aircraft Engine Using Neural Network Models☆11Updated 6 years ago
- case study for remaining useful life estimation☆30Updated 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
- Remaining useful life prediction by Transformer-based Model☆51Updated 2 years ago
- Estimation of RUL (Remaining Useful Life) of NASA Turbobfan Engine☆8Updated 3 years ago
- Produce an example using LSTM to predict remaining useful life of machinery☆15Updated last year
- Paper-Reproduce: (Sensors-MDPI) Remaining Useful Life Prediction Method for Bearings Based on LSTM with Uncertainty Quantification☆26Updated 2 years ago
- ☆15Updated 4 years ago
- ☆22Updated 4 years ago
- GLIN: Remaining useful life prediction based on fusion of global and local information (Transformer)☆31Updated last year
- Bearing remaining useful life prediction using support vector machine and hybrid degradation tracking model - Implementation of Research …☆45Updated 3 years ago
- Remaining Useful Life prediction with a Deep Self-Supervised Learning Approach☆20Updated last year
- ☆19Updated 2 years ago
- Remain useful life prediction of rolling bearing.☆57Updated 4 years ago
- Generalized Multiscale Feature Extraction for Remaining Useful Life Prediction of Bearings with Generative Adversarial Networks☆40Updated 3 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
- Application of Transfer Learning for RUL Prediction☆27Updated 4 years ago
- The implementation of Weighted Adversarial Domain Adaptation for Machine Remaining Useful Life Prediction in PyTorch.☆35Updated last year
- ☆10Updated 4 years ago
- ☆64Updated 4 years ago
- Evolutionary Neural Architecture Search for Remaining Useful Life Prediction☆27Updated 2 years ago
- ☆10Updated last year
- Attention-based multihead model for optimized aircraft engine remaining useful life prediction☆56Updated last year