Small Sample Maintainability Test Data Fusion Method Based on ML-II
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.
Small sample maintainability data fusion ML-II Bayes
Baowei Song Zhaoyong Mao Bochao Dong Jianfeng Yang
College of Marine Northwestern Polytechnical University Xian,China College of Computer Science & Information in Guizhou University, Reliability Engineering Research Ce
国际会议
贵阳
英文
838-841
2011-06-12（万方平台首次上网日期，不代表论文的发表时间）