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作 者:Lian Guangyao Huang Kaoli Chen Jianhui Wei Zhonglin
机构地区:[1]Ordnance Engineering Coll., Shijiazhuang 050003, P. R. China
出 处:《Journal of Systems Engineering and Electronics》2009年第5期1017-1023,共7页系统工程与电子技术(英文版)
基 金:supported by the National Natural Science Foundation of China(60771063).
摘 要:To analyze and evaluate the testability design of equipment, a testability analysis method based on Bayesian network inference model is proposed in the paper. The model can adequately apply testability information and many uncertainty information of design and maintenance process, so it can analyze testability by and large from Bayesian inference. The detailed procedure to analyze and evaluate testability for equipments by Bayesian network is given in the paper. Its modeling process is simple, its formulation is visual, and the analysis results are more reliable than others. Examples prove that the analysis method based on Bayesian network inference can be applied to testability analysis and evaluation for complex equipments.To analyze and evaluate the testability design of equipment, a testability analysis method based on Bayesian network inference model is proposed in the paper. The model can adequately apply testability information and many uncertainty information of design and maintenance process, so it can analyze testability by and large from Bayesian inference. The detailed procedure to analyze and evaluate testability for equipments by Bayesian network is given in the paper. Its modeling process is simple, its formulation is visual, and the analysis results are more reliable than others. Examples prove that the analysis method based on Bayesian network inference can be applied to testability analysis and evaluation for complex equipments.
关 键 词:design for testability testability analysis and evaluation uncertainty information Bayesian network
分 类 号:TP393.092[自动化与计算机技术—计算机应用技术] TP311.52[自动化与计算机技术—计算机科学与技术]
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