Risk Analysis of Reliability Assurance Test in the Case of Exponential Distribution
Zhihua Zhang
Abstract
Zhihua Zhang
Abstract
As the test time needed is very short,the assurance test is highly appreciated. The hierarchical prior distribution of failure rate was determined based on reliability acceptance test data.The risks of special assurance test(0.212 test) from Bayesian statistical viewpoint were analyzed,a sampling scheme for the assurance test in exponential case was given.An example illustrates that the method is feasible.
OpenAlex reports 1 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
As the test time needed is very short,the assurance test is highly appreciated. The hierarchical prior distribution of failure rate was determined based on reliability acceptance test data.The risks of special assurance test(0.212 test) from Bayesian statistical viewpoint were analyzed,a sampling scheme for the assurance test in exponential case was given.An example illustrates that the method is feasible.
Key concepts: Exponential distribution, Test (biology), Reliability (semiconductor), Reliability engineering, Statistics, Computer science, Mathematics, Engineering