An overview of component qualification using Bayesian statistics and energy methods.

Dohner, Jeffrey Lynn

关键词: LEARNING;    STATISTICS;    MATHEMATICS;   

DOI  :  10.2172/1029778
RP-ID  :  SAND2011-6006
PID  :  OSTI ID: 1029778
Others  :  TRN: US201201%%188

学科分类：社会科学、人文和艺术（综合）

美国|英语

来源: SciTech Connect

【 摘 要 】

The below overview is designed to give the reader a limited understanding of Bayesian and Maximum Likelihood (MLE) estimation; a basic understanding of some of the mathematical tools to evaluate the quality of an estimation; an introduction to energy methods and a limited discussion of damage potential. This discussion then goes on to presented a limited presentation as to how energy methods and Bayesian estimation are used together to qualify components. Example problems with solutions have been supplied as a learning aid. Bold letters are used to represent random variables. Un-bolded letter represent deterministic values. A concluding section presents a discussion of attributes and concerns.