Optimal Test Point Selection for Sequential Manufacturing Processes

1972 ◽  
Vol 51 (1) ◽  
pp. 291-300 ◽  
Author(s):  
M. R. Garey
2010 ◽  
Vol 7 (1) ◽  
pp. 223-230
Author(s):  
Hong-Xia Wang ◽  
Xiao-Hui Ye ◽  
Liang Wang

Diagnosis strategy is a testing sequence of the fault detection and isolation. For the distribution of the electronic equipment, a feasible engineering maintenance method is put forward based on the questions of test point selection and diagnosis strategy. The concepts of local diagnosis strategy and global diagnosis strategy are introduced. From which the local optimal diagnosis strategy is determined when the local optimal test points have been introduced by using the test information entropy, furthermore, the global optimal diagnosis strategy is determined by coalescing the local optimal diagnosis strategies. At last, the validity of the method is illustrated by an example from which the conclusion can be drawn that it is an optimal diagnosis strategy and the complexity of computation can be reduced.


2014 ◽  
Vol 2014 ◽  
pp. 1-16 ◽  
Author(s):  
Yuan Gao ◽  
Chenglin Yang ◽  
Shulin Tian ◽  
Fang Chen

By simplifying tolerance problem and treating faulty voltages on different test points as independent variables, integer-coded table technique is proposed to simplify the test point selection process. Usually, simplifying tolerance problem may induce a wrong solution while the independence assumption will result in over conservative result. To address these problems, the tolerance problem is thoroughly considered in this paper, and dependency relationship between different test points is considered at the same time. A heuristic graph search method is proposed to facilitate the test point selection process. First, the information theoretic concept of entropy is used to evaluate the optimality of test point. The entropy is calculated by using the ambiguous sets and faulty voltage distribution, determined by component tolerance. Second, the selected optimal test point is used to expand current graph node by using dependence relationship between the test point and graph node. Simulated results indicate that the proposed method more accurately finds the optimal set of test points than other methods; therefore, it is a good solution to minimize the size of the test point set. To simplify and clarify the proposed method, only catastrophic and some specific parametric faults are discussed in this paper.


Sign in / Sign up

Export Citation Format

Share Document