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차량 구동 시스템의 구조에 따른 resilience 분석
변성일,이동익,Byun, Sungil,Lee, Dongik 대한임베디드공학회 2015 대한임베디드공학회논문지 Vol.10 No.5
The vehicle has lots of embedded systems. Each of systems has its own role. In case of the vehicle, simple failure of system can be critical to driver. Therefore all of embedded system should be managed based on importance factors to be effective. In this paper, we consider the resilience as the importance factor for the driving system with ACC(Adaptive Cruise Control). We propose metrics to calculate the resilience of the embedded system. To get the resilience of system, we calculate the reliability and the resilience of nodes in the system using its failure rate. The resilience of whole system can be presented by the resilience of nodes and its weight. We calculate the resilience and compare the centralized structure and the distributed structure.
동적 Fault Tree 분석을 이용한 시스템 신뢰도 평가
변성일,이동익 대한임베디드공학회 2013 대한임베디드공학회논문지 Vol.8 No.5
Reliability evaluation is important task in embedded system. It can avoid potential failures and manage the vulnerable components of embedded system effectively. Dynamic fault tree analysis is one of the reliability evaluation methods. It can represent dynamic characteristics of a system such as fault & error recovery, sequence-dependent failures. In this paper, the steering system, which is embedded system in vehicles, is represented using dynamic fault tree. We evaluate the steering system using approximation algorithm based on Simpson’s rule. A set of simulation results shows that proposed method overcomes the low accuracy of classic approximation method without requiring no excessive calculation time of the Markov chain method.
고장수목분석(FTA) 기법을 이용한 무인잠수정 건전성 진단
변성일,이동익 제어·로봇·시스템학회 2022 제어·로봇·시스템학회 논문지 Vol.28 No.5
As an autonomous underwater vehicle (AUV) operates over a long period of time in the sea, continuous online monitoring of the vehicle is crucial. By monitoring the health status of the AUV, it is possible not only to avoid a serious damage or even loss of the vehicle, but also to effectively manage the missions being carried out. This paper presents an online health monitoring technique for AUVs using Fault Tree Analysis (FTA). The use of both information about the reliability and performance of subsystems can be highlighted as the main contribution from this work. The whole system is divided into several subsystems for which a fault tree is designed. Then, the system health is evaluated using the given fault tree by considering not only the performance of each component, but also the weighting factors, reliability, and fault status of various parts in each subsystem. In order to determine the health status of the AUV in real-time, the fault treeis structurally analyzed using the information mentioned above. The effectiveness of the proposed method is demonstrated using a set of simulations. .