Abstract
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.
Highlights
Safety is the most important characteristic of aviation products
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 in the Simulink model
This study focuses on the ASA/SSA process, the response of the Simulink model with fault injection is used to determine the failure effects of failure modes and their combinations from Failure Mode and Effect Analysis (FMEA), and the Monte Carlo simulation method is applied to calculate the probability of top failure conditions instead of Fault Tree Analysis (FTA), Dependence Diagram Analysis (DDA) and Markov Analysis (MA)
Summary
Safety is the most important characteristic of aviation products. The flight control system is a typical safety-critical system of modern aircraft, whose failures or malfunctions will lead to an unsafe flight path or structural failure preventing continued safe flight and landing. An MBSA method is proposed for typical 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 in the Simulink model. This study focuses on the ASA/SSA process, the response of the Simulink model with fault injection is used to determine the failure effects of failure modes and their combinations from FMEA, and the Monte Carlo simulation method is applied to calculate the probability of top failure conditions instead of FTA, DDA and MA.
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