Machine Learning Opportunities in Flight Test: Preflight Checks

Author:

Walker Joel R.ORCID,Claudio DavidORCID

Publisher

Springer Science and Business Media LLC

Reference250 articles.

1. Florio FD “Airworthiness - An Introduction to Aircraft Certification and Operations (3rd Edition),” [Online]. 2016 Available: https://app.knovel.com/hotlink/toc/id:kpAAIACOE2/airworthiness-an-introduction/airworthiness-an-introduction

2. Walker JR “Bravo 2 Whiskey, LLC, AFWERX, STTR, Topic: AFX20D-TCS01, Proposal,” 2020

3. Maheshwari A, Davendralingam N, DeLaurentis DA. “A Comparative Study of Machine Learning Techniques for Aviation Applications,” In: 2018 Aviation Technology, Integration, and Operations Conference, Atlanta, Georgia: American Institute of Aeronautics and Astronautics. 2018. https://doi.org/10.2514/6.2018-3980

4. Bernolli D, Allen CG. The most probable choice between several discrepant observations and the formation therefrom of the most likely induction. Biometrika. 1961;48(1–2):3–18. https://doi.org/10.1093/biomet/48.1-2.3.

5. Fisher RA. On an absolute criterion for fitting frequency curves. Messang Math. 1912;41:155–60.

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