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Open AccessArticle

Model-Based Safety Analysis for the Fly-by-Wire System by Using Monte Carlo Simulation

by Zhong Lu 1,*, Lu Zhuang 1, Li Dong 1 and Xihui Liang 2
1
College of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China
2
Department of Mechanical Engineering, University of Manitoba, Winnipeg, MB R3T5V6, Canada
*
Author to whom correspondence should be addressed.
Processes 2020, 8(1), 90; https://doi.org/10.3390/pr8010090
Received: 27 November 2019 / Revised: 26 December 2019 / Accepted: 7 January 2020 / Published: 9 January 2020
(This article belongs to the Special Issue Optimization for Control, Observation and Safety)
Safety analysis is one of the important means to show compliance with airworthiness requirements. The traditional safety analysis methods are significantly dependent on analysts’ skills and experiences. A model-based safety analysis approach is proposed for typical fly-by-wire (FBW) systems based on the system development model built via Simulink, by which the response of system performances can be simulated. The safety requirements of the FBW system are defined by presenting the thresholds of system performance metrics, and the effects of failure conditions on aircraft safety are determined according to the system response simulation by injecting failures or failure combinations into the Simulink model. The Monte Carlo simulation method is used to calculate the probability of unsafe conditions, whose effects are determined by the system response simulation with fault injections. Finally, a case study is used to illustrate the effectiveness and advantages of our proposed approach. View Full-Text
Keywords: system safety assessment; fly-by-wire system; fault injection; Monte Carlo simulation; dynamic behavior mode system safety assessment; fly-by-wire system; fault injection; Monte Carlo simulation; dynamic behavior mode
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Lu, Z.; Zhuang, L.; Dong, L.; Liang, X. Model-Based Safety Analysis for the Fly-by-Wire System by Using Monte Carlo Simulation. Processes 2020, 8, 90.

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