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Journal of Zhejiang University SCIENCE C 1998 Vol.-1 No.-1 P.


Mixture test strategy optimization for analog system

Author(s):  Wenjuan MEI, Zhen LIU, Ouhang LI, Yuanzhang SU, Yusong MEI, Yongji LONG

Affiliation(s):  School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu, China; more

Corresponding email(s):   meiwenjuan@std.uestc.edu.cn, scdliu@uestc.edu.cn

Key Words:  Fault diagnosis, Heuristic searching, Dynamic programming, Test optimization

Wenjuan MEI, Zhen LIU, Ouhang LI, Yuanzhang SU, Yusong MEI, Yongji LONG. Mixture test strategy optimization for analog system[J]. Frontiers of Information Technology & Electronic Engineering, 1998, -1(-1): .

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author="Wenjuan MEI, Zhen LIU, Ouhang LI, Yuanzhang SU, Yusong MEI, Yongji LONG",
journal="Frontiers of Information Technology & Electronic Engineering",
publisher="Zhejiang University Press & Springer",

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%T Mixture test strategy optimization for analog system
%A Wenjuan MEI
%A Zhen LIU
%A Ouhang LI
%A Yuanzhang SU
%A Yusong MEI
%A Yongji LONG
%J Journal of Zhejiang University SCIENCE C
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%D 1998
%I Zhejiang University Press & Springer
%DOI 10.1631/FITEE.2200512

T1 - Mixture test strategy optimization for analog system
A1 - Wenjuan MEI
A1 - Zhen LIU
A1 - Ouhang LI
A1 - Yuanzhang SU
A1 - Yusong MEI
A1 - Yongji LONG
J0 - Journal of Zhejiang University Science C
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EP -
%@ 2095-9184
Y1 - 1998
PB - Zhejiang University Press & Springer
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DOI - 10.1631/FITEE.2200512

Since analog systems play an essential role in modern equipment, test strategy optimization (TSO) for analog systems has attracted extensive attention in both academia and industry. Although many methods exist for the implementation of effective test strategies, diagnosis for analog systems suffers from the impacts of various stresses due to sophisticated mechanism and variable operational conditions. Consequently, the generated solutions are impractical due to the systemsâĂŹ topology and influence of information redundancy. Additionally, independent tests operating sequentially on the generated strategies may increase the time consumption. To overcome the above weaknesses, we propose a novel approach called heuristic programming (HP) to generate a mixture of test strategies. The experiments prove that HP and Rollout-HP access the strategy with fewer layers and lower cost consumption than state-of-the-art methods. Both HP and Rollout-HP provide more practical strategies than other methods. Additionally, the cost consumption of the strategy based on HP and Rollout-HP is improved compared with that of other methods because of the updating of the test cost and adaptation of mixture “OR” nodes. Hence, the proposed methods have high efficiency.

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