A test point selection method based on recognition of typical topology structure of complex networks

Author(s):  
Wenzhe Li ◽  
Junyou Shi ◽  
Xiaowei Duan ◽  
Xuhao Guo
2010 ◽  
Vol 26 (5) ◽  
pp. 523-534 ◽  
Author(s):  
ChengLin Yang ◽  
ShuLin Tian ◽  
Bing Long ◽  
Fang Chen

2018 ◽  
Vol 2018 ◽  
pp. 1-11 ◽  
Author(s):  
Qingfeng Ma ◽  
Yuzhu He ◽  
Fuqiang Zhou ◽  
Ping Song

The demand for testability analysis has increased with the integration densities and complexity of circuits. As an important part of testability analysis, the test point selection method needs to be researched in depth. A new similarity coefficient criterion is proposed to determine the fault isolation degree because output responses of a circuit with component tolerance are approximately subject to the normal distribution. Then, a new test point selection method is proposed based on the fault-pair similarity coefficient criterion information table. Simulation experiments are used to validate the accuracy of the proposed method in terms of the optimum test point set and fault isolation degree. The results show that the proposed method improves the performance of test point selection by comparing with the other reported methods.


2014 ◽  
Vol 1006-1007 ◽  
pp. 1125-1128
Author(s):  
Xiu Sheng Duan ◽  
Sheng Jun Li ◽  
Jing Xiao ◽  
Jie Wang

Test point selection is the basic problem of fault diagnosis systems. It is also one of the key links in designing the condition monitoring system. Aiming at the optimizing the test points on circuit board level, an optimal selection method is proposed. It is the method which combines the SVM algorithm and the feature selection method. The principle and process of the method are discussed in detail and in the fault diagnosis experiment of a circuit board, the effectiveness is verified finally.


2017 ◽  
Vol 33 (3) ◽  
pp. 339-352 ◽  
Author(s):  
Hui Luo ◽  
Wei Lu ◽  
Youren Wang ◽  
Ling Wang

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