Volume 31 Issue 1
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SHEN An-wei, GUO Ji-lian, WANG Zhuo-jian. Nonparametric estimation method of reliability evaluation in competitive fault model[J]. Journal of Aerospace Power, 2016, 31(1): 49-56. doi: 10.13224/j.cnki.jasp.2016.01.007
Citation: SHEN An-wei, GUO Ji-lian, WANG Zhuo-jian. Nonparametric estimation method of reliability evaluation in competitive fault model[J]. Journal of Aerospace Power, 2016, 31(1): 49-56. doi: 10.13224/j.cnki.jasp.2016.01.007
shu

Nonparametric estimation method of reliability evaluation in competitive fault model

doi: 10.13224/j.cnki.jasp.2016.01.007

  • Aeronautics and Astronautics Engineering College, Air Force Engineering University, Xi'an 710038, China

  • Received Date: 2014-05-14
  • Publish Date: 2016-01-28
    Abstract
  • The nonparametric estimation method of reliability evaluation was compared and analyzed for the problem of small sample and randomly censoring in the field data of aero-engine. Monte Carlo method was applied and a simulation method was designed to compare the reliability evaluation method within competitive fault model. Through the example of trebling Weilbull distribution, random censoring observations of aero-engine were simulated through this method by comparing four nonparametric estimation methods of reliability evaluation. An example of engineering application was used to illustrate the validity of the method. Results show that the excellence order of nonparametric estimation method is Kaplan-Meier estimation, mean rank order method, Herd-Johnson estimation and Nelson-Aalen estimation under the trebling Weilbull competitive fault model.

     

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