Sensitivity Analysis for Failure Rate of Certain Aircraft System
Received:August 24, 2022  Revised:December 07, 2022
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DOI:10.7643/issn.1672-9242.2023.07.008
KeyWord:aircraft  failure rate  Sobol  Kriging model  sensitivity analysis  environmental data
        
AuthorInstitution
HE Bo AVIC Chengdu Aircraft Design and Research Institute, Chengdu , China
ZHANG Wen-han AVIC Chengdu Aircraft Design and Research Institute, Chengdu , China
LIN Jian AVIC Chengdu Aircraft Design and Research Institute, Chengdu , China
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Abstract:
      The work aims to solve the problem of failure rate sensitivity analysis of certain aircraft system in different service stages and service environments and find out the important factors affecting the failure rate. A failure rate sensitivity analysis method suitable for certain aircraft system was proposed by combining Sobol method and Kriging model. The failure rate data of the aircraft system in different service life and service environments were collected, and used as the samples to train the Kriging model as a black box function to meet the prediction requirements of system failure rate, and then the trained Kriging model was used to predict the sample failure rate required for sensitivity analysis. By this method, the failure rate sensitivity analysis of certain aircraft subsystem was carried out, and the main effect and total effect indexes of variables affecting the system failure rate were given. It was found that the average temperature and average humidity were the most important factors affecting the system failure rate. This method can calculate the sensitivity index of affecting variables of failure rate more efficiently, and give the order of relative importance, which can provide basis for failure prevention, failure diagnosis and failure maintenance of aircraft system.
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