航空装备现场数据可靠性评估方法有效性分析

doi:10.7527/S1000-6893.2013.0373

Abstract

Abstract:

Application scope and validity of mean rank order method and expectation maximun (EM) algorithm are analyzed for the problem of high reliability aviation product of small sample sizes and random censoring. Considering the case of maintenance, a reliability assessment simulation method is designed based on the Monte Carlo method. Random censoring observations of aviation equipment are simulated through the dynamic changes of flight years, aircraft numbers, and daily utilization rate with the example of Weilbull distribution. Thus the validity of mean rank order method and EM algorithm are assessed through the changes of sample size and censoring rate. The simulation results show that EM algorithm should be preferred in parameter estimation of small sample and random censoring when the sample size is in the range of 10 to 30.

Key words: mean rank order method, EM algorithm, random censoring, Weibull distribution, sample size, censoring rate

CLC Number:

SHEN Anwei, GUO Jilian, WANG Zhuojian. Validity Analysis of Reliability Evaluation Method in Aviation Equipment Field Data[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2014, 35(5): 1311-1318.

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Validity Analysis of Reliability Evaluation Method in Aviation Equipment Field Data

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