Small sample maintainability test data fusion method based on ML-II

Baowei Song, Zhaoyong Mao, Bochao Dong, Jianfeng Yang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

In order to solve the problem of low reliability of assessment result due to small sample size in complex system maintainability assessment, the maximum likelihood estimate (ML-II) of the second kind is introduced for parameter estimation so as to implement fusion of a small amount of the field maintainability test information with multi-source maintainability prior information and give weighing factors of various prior information based on field test information and obtain a fused prior distribution at the end. Finally, the effectiveness and feasibility of the fusion method are explained by fusion example according to certain maintainability index parameter.

Original languageEnglish
Title of host publicationICRMS'2011 - Safety First, Reliability Primary
Subtitle of host publicationProceedings of 2011 9th International Conference on Reliability, Maintainability and Safety
Pages838-841
Number of pages4
DOIs
StatePublished - 2011
Event2011 9th International Conference on Reliability, Maintainability and Safety: Safety First, Reliability Primary, ICRMS'2011 - Guiyang, China
Duration: 12 Jun 201115 Jun 2011

Publication series

NameICRMS'2011 - Safety First, Reliability Primary: Proceedings of 2011 9th International Conference on Reliability, Maintainability and Safety

Conference

Conference2011 9th International Conference on Reliability, Maintainability and Safety: Safety First, Reliability Primary, ICRMS'2011
Country/TerritoryChina
CityGuiyang
Period12/06/1115/06/11

Keywords

  • Bayes
  • data fusion
  • maintainability
  • ML-II
  • Small sample

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