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Human Machine Serial Systems Reliability and Parameters Estimation Considering Human Learning Effect  

KIM, Kuk (서경대학교 산업경영시스템공학과)
Publication Information
Journal of the Korea Management Engineers Society / v.23, no.4, 2018 , pp. 159-164 More about this Journal
Abstract
Human-machine serial systems must be normal in both systems. Though the failure of machine is irreducible by itself, the human errors are of recurring type. When the human performance is described quantitatively, non-homogeneous Poisson Process model of human errors can be developed. And the model parameters can be estimated by maximum likelihood estimation and numerical analysis method. System reliability is obtained by multiplying machine reliability by human reliability.
Keywords
human-machine system; serial system; non-homogeneous Poisson Process; parameter estimation;
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