ASE2306-Capstone Project [2019/20 T3] - Aircraft Engine Lifetime Prediction with Machine Learning
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Updated
Dec 3, 2020 - Jupyter Notebook
ASE2306-Capstone Project [2019/20 T3] - Aircraft Engine Lifetime Prediction with Machine Learning
This is where we will be hosting all our files for the Whirlwind Radial Engine Project
A high-fidelity multi-cylinder radial aircraft engine modeled in SolidWorks — featuring full kinematic assembly, interference detection, and PhotoView 360 rendering.
AI-powered Aircraft Engine Predictive Maintenance System using NASA CMAPSS data, Machine Learning, and Streamlit for Remaining Useful Life (RUL) prediction.
NOx estimation for aircraft engines
AI-powered predictive maintenance system for aircraft engine Remaining Useful Life (RUL) prediction using a Transformer-GRU deep learning model, Digital Twin technology, and an interactive Streamlit dashboard.
Machine learning project for aircraft engine predictive maintenance using RUL prediction, FD001 turbofan dataset, and a Python-based application interface.
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