Evaluation of smartIflow based on the Wheel Brake System from ARP4761

Müller, Christian; Hönig, Philipp; Lunde, Rüdiger

doi:10.1016/j.ifacol.2018.09.573

Cited by 1 publication

(1 citation statement)

References 6 publications

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“…The State Machine for Automation of Reliability-related Tasks using Information FLOWs (SmartIflow) represents another MBSA method that has been designed to automate the safety analysis process [10,7,3], Compared to the formal safety analysis methods, this method possesses the advantages of dynamic behavior description and state transformation visualization. The state-based analysis methods have facilitated the dynamic evaluation of the failure effect, thus realizing the global perception of the safety state.…”

Section: Gang Xiaomentioning

confidence: 99%

State-based safety analysis method for dynamic evaluation of failure effect

Xiao

Wang

2020

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System state that represents a combined influence of internal and external system parameters on the overall failure effect plays a significant role in failure effect analysis. The traditional safety analysis methods can hardly evaluate the overall failure impact due to the dynamic failure behaviors in diverse system interaction situations. To overcome this problem, this paper proposes a state-based safety analysis method for dynamic evaluation of the failure effect combining the situation factor. First, a hierarchical modeling framework that includes functional logic, physical architecture, and the failure mode is constructed, and then the cross-linking relationships between items are characterized by the state machines. Particularly, the event transmission mechanism and the global attribute updating mechanism are designed to realize the state synchronization of various systems, thus enabling the global propagation of failure. The feasibility of the proposed method is verified by simulations. The Enterprise Architect platform is used to model the aircraft integrated surveillance system and analyze the effects of different failure modes in typical situations. The proposed method complements the failure effect evaluation accuracy considering the dynamic interaction situations, thus realizing the global perception of the safety state, enhancing the dynamics and integrity of the failure effect analysis process.

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Section: Gang Xiaomentioning

confidence: 99%

State-based safety analysis method for dynamic evaluation of failure effect

Xiao

Wang

2020

View full text Add to dashboard Cite

show abstract

Evaluation of smartIflow based on the Wheel Brake System from ARP4761

Cited by 1 publication

References 6 publications

State-based safety analysis method for dynamic evaluation of failure effect

State-based safety analysis method for dynamic evaluation of failure effect

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