Journal of Astronautics ›› 2017, Vol. 38 ›› Issue (1): 104-108.doi: 10.3873/j.issn.1000-1328.2017.01.014

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Fuzzy Fault Tree Analysis on Temperature Control System of Conventional Rocket Propellant

CHEN Hui xing, REN Yan, YU Shao xing   

  1. 1. Xichang Satellite Launch Center, Xichang 615606, China;2. State Key Laboratory of NBC Protection, Beijing 102205, China;
    3. Spaceflight Project Command, Beijing 100101, China
  • Received:2016-09-02 Revised:2016-11-10 Online:2017-01-15 Published:2017-01-25


Fuzzy fault tree analysis method is applied to study the reliability of the conventional temperature control system. Firstly, a fault tree model of the conventional rocket propellant temperature control system is established. Secondly, based on the fuzzy mathematics theory, the ascending method is applied to solve the minimum cut set of the fault tree. The expression of the bottom event occurrence probability is described by the normal type fuzzy numbers, and the calculation method of the top event fuzzy sets is put forward. Finally, a fault location and screening method based on the fuzzy probability importance is provided. The PLC communication faults are calculated and analyzed as an example. The results show that the troubleshooting methods based on the fuzzy probability importance can effectively improve the efficiency of fault location.

Key words: Temperature control system, Fuzzy fault tree, Minimum cut set, Fuzzy probability importance

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