Analysis of Manufacturing Execution Systems Reliability Growth Based on Bayesian Information Fusion

摘要

On the background of Manufacturing Execution Systems engineering, based on Bayesian information fusion evaluation methods research system reliability growth. Exploreing MES function of test data is not easy to obtain, it used Bayesian fusion method which is based on the type of conjugate prior distribution, assessment the MES reliability of each function module. Utilize Fuzzy priori information, research the MES function module failure rate of the Bayes estimate, to reveals the complex system under the condition of the cause of the problem is not easy to determine, which can be carried out system reliability growth test.