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Improving the Combustion Performance of a Hybrid Rocket Engine using a Novel Fuel Grain with a Nested Helical Structure
Published on: January 18, 2021
Hao Sun1, Yuehua Cheng1, Bin Jiang1
1College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China.
This study introduces a novel data fusion algorithm for rocket engine anomaly detection, improving reliability and safety. The method enhances detection accuracy and speed by integrating engine measurements with rocket flight data.
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