Research on Multi-source Data Equivalent Methods for Testability Integrated Evaluation

doi:10.3969/j.issn.1000-1093.2017.01.020

Abstract

Abstract: The form of prior data for testability integrated evaluation is too multiply to match with the binomial data which is processed under the framework of Bayes theory. For this issue, five kinds of prior data, including expert data, preexposure test data, growth test data, replaceable unit data and virtual test data, are studied. Furthermore, five corresponding equivalent methods which transform the different types of data into the system-level binomial data are proposed based on Bayes theory. The proposed methods are validated via applied examples. Results show that the proposed methods have wide applicability, and also enlarge the amount of data used for testability evaluation indirectly. Key

Key words: systemassessmentandfeasibility, systemassessmentandfeasibility, testabilityevaluation, multi-sourcedata, equivalence, growthfactor, structurefunction

CLC Number:

TP277.3

WANG Jing， LI Tian-mei， HE Hua-feng， XU Cong-qi. Research on Multi-source Data Equivalent Methods for Testability Integrated Evaluation[J]. Acta Armamentarii, 2017, 38(1): 151-159.

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第38卷
第1期2017 年1月兵工学报ACTA
ARMAMENTARIIVol.38No.1Jan.2017

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