System of Systems Safety Analysis of GNSS based on Functional Dependency Network Analysis

Zhang, Wangxun; Li, Zhifei; Wei-ping, Wang; Li, Qun

doi:10.18576/amis/100625

Cited by 4 publications

(2 citation statements)

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“…FDNA [24][25][26][27][28][29] is a system performance evaluation method that can better demonstrate the "interactive, loosely coupled" characteristics of the system. It can be used to analyze the chain reaction caused by the failure of a certain system performance to other dependent performance, as well as the possible consequences of the common cause failure of multiple components [26,27]. It is improved according to the needs of the mission safety analysis framework, which temporal relationships, dependency state, and dependency effects, and modify the physical meaning of relevant parameters are introduced.…”

Section: Fdna-based Framework Modelingmentioning

confidence: 99%

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Equipment Mission Safety Evaluation Method Based on Function-Structure

Chen

Kan

et al. 2021

IEEE Access

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Safety is the eternal theme of aviation activities. With the rapid development of military technology and equipment construction, the new equipment requires safer and more reliable technology and management guarantees. The aim of this paper is to evaluate the safety level of equipment in a single-stage mission. The mission safety is defined as the capacity of equipment to avoid unacceptable accidents during mission execution. A safety analysis framework is constructed according to the logic of mission-functionsafety structure. The mission profile ensures the success of the mission by specifying the functional requirements and the safety structure realizes the functional requirements by adjusting the structure and scheduling resources. On this basis, the functional dependency network analysis (FDNA) method is improved to study the interaction failures between the components in the specific state. A numerical simulation method for mission safety is proposed to analyze the evolution relationship between components and behaviors, which could obtain the mission safety level under different failure modes. A case verifies the application process. The results revealed that the mission safety assessment needs to be evaluated with the consideration of safety structure and mission profile. The scale of system failures conforms to Weibull distribution in different attack modes. It is shown that the escalating risks will cause serious consequences.

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Section: Fdna-based Framework Modelingmentioning

confidence: 99%

“…2) The mission safety analysis framework is formalized by heterogeneous network. To describe the emergence of safety failure, we introduced the Functional Dependency Network Analysis (FDNA) [24][25][26][27][28][29] and made corresponding improvements.…”

Section: Introductionmentioning

confidence: 99%