2011Procedia EngineeringOpen access

Application Research of Markov in Flight Control System Safety Analysis

Jianzhong Yang, Zhang Ju-lian

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Abstract

Safety analysis is an important method of compliance demonstration for airworthiness regulation. In this paper, the application of Markov analysis in system safety assessment is studied, and the common method of Markov analysis for system safety assessment is given. A failure state of flight control system is modeled and analyzed by Markov analysis and fault tree analysis respectively, and the results show that Markov method has a higher accuracy of quantitative analysis of the sequence related events. This method also overcomes the shortcomings of the static analysis features of the fault tree analysis.

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Safety analysis is an important method of compliance demonstration for airworthiness regulation. In this paper, the application of Markov analysis in system safety assessment is studied, and the common method of Markov analysis for system safety assessment is given. A failure state of flight control system is modeled and analyzed by Markov analysis and fault tree analysis respectively, and the results show that Markov method has a higher accuracy of quantitative analysis of the sequence related events. This method also overcomes the shortcomings of the static analysis features of the fault tree analysis.

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Available abstract

Safety analysis is an important method of compliance demonstration for airworthiness regulation. In this paper, the application of Markov analysis in system safety assessment is studied, and the common method of Markov analysis for system safety assessment is given. A failure state of flight control system is modeled and analyzed by Markov analysis and fault tree analysis respectively, and the results show that Markov method has a higher accuracy of quantitative analysis of the sequence related events. This method also overcomes the shortcomings of the static analysis features of the fault tree analysis.

Key concepts: Fault tree analysis, Airworthiness, Markov chain, Markov model, Reliability engineering, System safety, Markov process, Computer science

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