Systems and methods for improved aircraft safety
Abstract
Methods and system for improved aircraft safety are described herein. A machine learning model may be trained using historical flight data for a number of previously flown flights where an automation function autonomously disengaged. The trained machine learning model may be used to generate probabilistic alert rules. The probabilistic alert rules may be used by a computing device onboard an aircraft to provide contextual information to flight crew relating to engagement status for one or more automation functions of the aircraft.
- Inventors:
- Issue Date:
- Research Org.:
- George Mason Univ., Fairfax, VA (United States)
- Sponsoring Org.:
- USDOE; National Aeronautics and Space Administration (NASA)
- OSTI Identifier:
- 2293970
- Patent Number(s):
- 11840354
- Application Number:
- 16/843,538
- Assignee:
- George Mason University (Fairfax, VA)
- DOE Contract Number:
- NASA NN16AA15
- Resource Type:
- Patent
- Resource Relation:
- Patent File Date: 04/08/2020
- Country of Publication:
- United States
- Language:
- English
Citation Formats
Sherry, Lance, and Snisarevska, Oleksandra. Systems and methods for improved aircraft safety. United States: N. p., 2023.
Web.
Sherry, Lance, & Snisarevska, Oleksandra. Systems and methods for improved aircraft safety. United States.
Sherry, Lance, and Snisarevska, Oleksandra. Tue .
"Systems and methods for improved aircraft safety". United States. https://www.osti.gov/servlets/purl/2293970.
@article{osti_2293970,
title = {Systems and methods for improved aircraft safety},
author = {Sherry, Lance and Snisarevska, Oleksandra},
abstractNote = {Methods and system for improved aircraft safety are described herein. A machine learning model may be trained using historical flight data for a number of previously flown flights where an automation function autonomously disengaged. The trained machine learning model may be used to generate probabilistic alert rules. The probabilistic alert rules may be used by a computing device onboard an aircraft to provide contextual information to flight crew relating to engagement status for one or more automation functions of the aircraft.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Tue Dec 12 00:00:00 EST 2023},
month = {Tue Dec 12 00:00:00 EST 2023}
}
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