Application of machine learning and its effectiveness in performance model adaptation for a turbofan engine-Reference-Cited by-同舟云学术

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Application of machine learning and its effectiveness in performance model adaptation for a turbofan engine

Published:2024-04 Issue: Volume:147 Page:108976
ISSN:1270-9638
Container-title:Aerospace Science and Technology
language:en
Short-container-title:Aerospace Science and Technology

Author:

Kim Sangjo

Publisher

Elsevier BV

Reference30 articles.

1. Turbo-fan engine acceleration control schedule optimization based on DNN-LPV model;Gu;Aerosp. Sci. Technol.,2022

2. A novel direct performance adaptive control of aero-engine using subspace-based improved model predictive control;Chen;Aerosp. Sci. Technol.,2022

3. Diagnostics using a physics-based engine model in aero gas turbine engine verification tests;Kim;Aerosp. Sci. Technol.,2023

4. Physical model-based prognostics and health monitoring to enable predictive maintenance;Tinga,2019

5. DYNGEN;Sellers,1975

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