Bayesian prior information fusion for power law process via evidence theory

When setting the RAM objectives, various data such as expert opinions and the historical data of similar types of equipment are used. However, many times subjectivity is involved in the process of merging and utilizing data, and there are many cases where some information is omitted or an ambiguous method is used. Most of the previous work focused only on the process or method of calculating values using well-organized data rather than manipulating raw data. But if the data manipulation process is not objective, it is difficult to guarantee the accuracy of the results even if the calculation logic and method are accurate. This study proposes a systematic data merging process used to set the RAM objectives using the evidence theory. The proposed method can be used to avoid information loss and merge the data objectively. Moreover, contribute to improving the accuracy of setting the RAM objectives in the future.

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Bayesian prior information fusion for power law process via evidence theory

Cited by 3 publications

References 45 publications

Bayesian estimation versus maximum likelihood estimation in the Weibull-power law process

Bayesian estimation versus maximum likelihood estimation in the Weibull-power law process

Inferential study of single unit repairable system

A Study on the Data Quantification of Weapon System RAM Objective Setting Using Evidence Theory

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