DocumentCode
3589861
Title
Research on nonparametric method of reliability evaluation in context of mixed distribution
Author
Anwei Shen ; Jilian Guo ; Zhuojian Wang ; Jilong Zhong ; Xu Du
Author_Institution
Aeronaut. & Astronaut. Eng. Coll., Air Force Eng. Univ., Xi´an, China
fYear
2014
Firstpage
781
Lastpage
786
Abstract
With regard to the small sample and randomly right censored problem of field data in reliability evaluation of aviation equipment, this paper compares the nonparametric method of reliability evaluation. We design a simulation method to compare the advantages and disadvantages for reliability evaluation under mixed distribution with Monte Carlo method. The method takes double mixed Weibull distribution for an example, comparing four nonparametric evaluation methods through producing field failure data of aviation equipment with features of randomly censored. The simulation result shows the optimal and worse order is successively sorted by Kaplan-Meier method and Mean Rank Order method, then Herd-Johnson method and last Nelson-Aalen method under double mixed Weibull distribution.
Keywords
Monte Carlo methods; aerospace instrumentation; aerospace simulation; reliability; Herd-Johnson method; Kaplan-Meier method; Monte Carlo method; Nelson-Aalen method; aviation equipment reliability evaluation; double mixed Weibull distribution; mean rank order method; mixed distribution context; nonparametric method; Data models; Estimation; Mean square error methods; Reliability engineering; Shape; Weibull distribution; Mixed Distribution Model; Monte Carlo; Nonparametric Evaluation; Reliability;
fLanguage
English
Publisher
ieee
Conference_Titel
Reliability, Maintainability and Safety (ICRMS), 2014 International Conference on
Print_ISBN
978-1-4799-6631-8
Type
conf
DOI
10.1109/ICRMS.2014.7107305
Filename
7107305
Link To Document