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    题名 作者 年代 出处 被引量
1Health monitoring of time-varying stochastic structures by latent components and fuzzy expert system显示文摘在这篇论文,一个新奇参量的基于模型的分解方法为变化时间的结构监视的结构的健康被建议。为这个目的,先进功能系列的时间依赖者汽车回归的动人的一般水准(FS-TARMA ) 技术被用来估计在参量的信号分解计划使用的参数和革新变化。另外,一个唯一的特征抽取和减小方法基于分解信号,已知的同样潜伏的部件(LC ) ,被建议。为了在实验室评估建议方法,数字模拟和试验性的研究的效率,在变化时间的结构上被进行,在损坏的各种各样的类型被介绍的地方。模糊专家系统(FES ) 被用作一个分类工具当时,证明建议方法成功地识别不同结构的条件与另外的方法相比基于非减少、平常的特征抽取。M. M. Ettefagh M. H. Sadeghi 2008Earthquake Engineering and Engineering Vibration2008,7,1:3
2System level test selection based on combinatorial dependency matrix显示文摘Test selection is to select the test set with the least total cost or the least total number from the alternative test set on the premise of meeting the required testability indicators.The existing models and methods are not suitable for system level test selection.The first problem is the lack of detailed data of the units’fault set and the test set,which makes it impossible to establish a traditional dependency matrix for the system level.The second problem is that the system level fault detection rate and the fault isolation rate(referred to as'two rates')are not enough to describe the fault diagnostic ability of the system level tests.An innovative dependency matrix(called combinatorial dependency matrix)composed of three submatrices is presented.The first problem is solved by simplifying the submatrix between the units’fault and the test,and the second problem is solved by establishing the system level fault detection rate,the fault isolation rate and the integrated fault detection rate(referred to as'three rates')based on the new matrix.The mathematical model of the system level test selection problem is constructed,and the binary genetic algorithm is applied to solve the problem,which achieves the goal of system level test selection.YANG Peng XIE Haoyu QIU Jing 2021Journal of Systems Engineering and Electronics2021,32,4:0
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