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Research Article
Nov 14, 2019

Using Rio-Paris Flight 447 Crash to Assess Human Error and Failure Propagation Analysis Early in Design

Publication: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering
Volume 6, Issue 1

Abstract

While a majority of system vulnerabilities such as performance losses and accidents are attributed to human errors, a closer inspection would reveal that often times the accumulation of unforeseen events that include both component failures and human errors contribute to such system failures. Human error and functional failure reasoning (HEFFR) is a framework to identify potential human errors, functional failures, and their propagation paths early in design so that systems can be designed to be less prone to vulnerabilities. In this paper, the application of HEFFR within the complex engineering system domain is demonstrated through the modeling of the Air France 447 crash. Then, the failure prediction algorithm is validated by comparing the outputs from HEFFR and what happened in the actual crash. Also, two additional fault scenarios are executed within HEFFR and in a commercially available flight simulator separately, and the outcomes are compared as a supplementary validation. This article is available in the ASME Digital Collection at https://doi.org/10.1115/1.4044790.

Information & Authors

Information

Published In

Go to ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering
Volume 6Issue 1March 2020

History

Received: Nov 30, 2018
Revision received: Apr 24, 2019
Published online: Nov 14, 2019
Published in print: Mar 1, 2020

Authors

Affiliations

Lukman Irshad [email protected]
School of Mechanical, Industrial and Manufacturing Engineering, Oregon State University, Corvallis, OR 97331 e-mail: [email protected]
H. Onan Demirel [email protected]
School of Mechanical, Industrial and Manufacturing Engineering, Oregon State University, Corvallis, OR 97331 e-mail: [email protected]
Irem Y. Tumer [email protected]
School of Mechanical, Industrial and Manufacturing Engineering, Oregon State University, Corvallis, OR 97331 e-mail: [email protected]
Guillaume Brat [email protected]
Intelligent Systems Division, NASA Ames Research Center, Moffett Field, CA 94035 e-mail: [email protected]

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