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A Safety Influencing Factors Screening Method for Space Man-Machine System

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 778))

Abstract

The generalized Man-Machine System (MMS) is defined as a complex aggregation having specific function which is made up of interactive man, machine and environment. The object of this paper is Space Man-Machine System (SMMS) which is represented by manned spacecraft, space laboratory and space station. SMMS refers to numerous man, machine and environment safety-influencing factors. There exist some disadvantages of artificial screening of safety compensation factors (CPFs) and irreplaceable factors (IRFs), independent factors (IDFs) and combination factors (CBFs), such as heavy workloads, easy to confuse and omission. This paper proposed a safety influencing factors screening method for SMMS based on Analytic Hierarchy Process (AHP), Decision-Making Trial and Evaluation Laboratory (DEMATEL) and Fault Tree Minimum Cut Set (FT-MCS), which is able to screening numerous safety influencing factors quickly and effectively, and find the key point of controlling accident to ensure safety operation of SMMS.

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Correspondence to Lu Chen .

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Chen, L. et al. (2019). A Safety Influencing Factors Screening Method for Space Man-Machine System. In: Boring, R. (eds) Advances in Human Error, Reliability, Resilience, and Performance. AHFE 2018. Advances in Intelligent Systems and Computing, vol 778. Springer, Cham. https://doi.org/10.1007/978-3-319-94391-6_20

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  • DOI: https://doi.org/10.1007/978-3-319-94391-6_20

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-94390-9

  • Online ISBN: 978-3-319-94391-6

  • eBook Packages: EngineeringEngineering (R0)

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