Published In
Aerospace
Document Type
Article
Publication Date
5-2018
Subjects
Reliability (Engineering), Risk assessment, Probabilities
Abstract
Human-in-the-Loop (HITL)-related models can be applied in various aerospace vehicular problems, when human qualifications and performance are crucial and the ability to quantify them is therefore imperative; since nobody is perfect, these evaluations should preferably be done on a probabilistic basis. The suggested models can also be used in many other areas of applied science and engineering, not even necessarily vehicular engineering, when a human encounters an extraordinary situation and should possess a sufficiently high human capacity factor (HCF) to successfully cope with an elevated mental workload (MWL). The incentive for probabilistic predictive modeling and the rationale for such modeling is addressed in this article on the layman language level.
Locate the Document
DOI
10.3390/aerospace5020056
Persistent Identifier
http://archives.pdx.edu/ds/psu/25240
Citation Details
Suhir, E. (2018). Aerospace Mission Outcome: Predictive Modeling.
Description
© 2018 by the author. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).