Volume 37 Issue 3
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SUN Jianzhong, YI Yang, WEN Hong, WANG Peng, SHAO Chuanjin. Life cycle probabilistic modeling and simulation of aero-engine maintenance[J]. Journal of Aerospace Power, 2022, 37(3): 573-588. doi: 10.13224/j.cnki.jasp.20210160
Citation: SUN Jianzhong, YI Yang, WEN Hong, WANG Peng, SHAO Chuanjin. Life cycle probabilistic modeling and simulation of aero-engine maintenance[J]. Journal of Aerospace Power, 2022, 37(3): 573-588. doi: 10.13224/j.cnki.jasp.20210160
shu

Life cycle probabilistic modeling and simulation of aero-engine maintenance

doi: 10.13224/j.cnki.jasp.20210160
  • 1.

    College of Civil Aviation，Nanjing University of Aeronautics and Astronautics，Nanjing 211106，China

  • 2.

    Training Center， China Eastern Airlines Jiangsu Limited，Nanjing 211113，China

  • 3.

    Commercial Aircraft Engine Company Limited，Aero Engine Corporation of China，Shanghai 200241，China

  • Received Date: 2021-04-09
  • Publish Date: 2022-03-28
    Abstract
  • In order to evaluate the impact of different component design reliability，different operating environments and maintenance decisions on fleet operation and maintenance indicators （shop visit rate，shop visit cauce，mean time between removal，rate per flight hour，etc.），a model method for the probabilistic repair of aero-engine life cycle was proposed.Based on the life distribution of the potential reasons for repairs in different environments，and combined with maintenance decision rules and maintenance task costs，this method was employed to model the life cycle maintenance event probability of the fleet through discrete event simulation and Monte Carlo sampling.A simulation study was carried out on a typical commercial turbo fan engine.Under three different operating environments，the average shop visit rates of engines were 0.029 1，0.038 4 and 0.059 8，respectively，and the rates per flight hour were 82，91 and 119 dollars per flight hour，respectively.The simulation results showed the effectiveness of the proposed method.

     

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