DocumentCode :
114065
Title :
Optimum test points selection in analogue-circuit diagnosis with graphic fault detection and isolation information record
Author :
Xin Gao ; HouJun Wang
Author_Institution :
Sch. of Autom. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
fYear :
2014
fDate :
26-28 April 2014
Firstpage :
393
Lastpage :
396
Abstract :
This paper proposes two new algorithms to locate the optimal test-points set in analogue circuit. These proposed methods make good use of the concept of fault-pair, and establish the bipartite network for fault detection and isolation information (FDI) coding. It also makes good use of network parameters including edge weights and cluster coefficients. The effectiveness of the algorithms is tested in an analogue circuit benchmark. In addition, the statistical experiment is used when compared with some previous methods based on fault dictionary technology. All these results show that the proposed test-points selection (TPS) method is indeed to minimize the size of the test-points set.
Keywords :
analogue circuits; fault diagnosis; analogue circuit diagnosis; bipartite network; cluster coefficients; edge weights; fault detection and isolation information coding; network parameters; optimum test points selection; Algorithm design and analysis; Analog circuits; Circuit faults; Clustering algorithms; Dictionaries; Fault detection; Fault diagnosis; bipartite networks modelling; fault detection and isolation information coding; fault diagnosis; test-point selection algorithm;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Science and Technology (ICIST), 2014 4th IEEE International Conference on
Conference_Location :
Shenzhen
Type :
conf
DOI :
10.1109/ICIST.2014.6920410
Filename :
6920410
Link To Document :
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