Selection of Optimal Measure Project for Automatic Test System

Xian Feng Zu; Yu Qin Han; Gong Liu

doi:10.4028/www.scientific.net/AMM.128-129.994

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 128-129Selection of Optimal Measure Project for Automatic...

Selection of Optimal Measure Project for Automatic Test System

Abstract:

An optimal solution of multi-objective optimization has been proposed for the measure project of automatic test system (ATS) because of the formation complexity and the factors diversity. The method is used to select the optimal measure project for ATS. First a quasi-ideal solution is defined using maximum subjection principle from fuzzy theory. Then calculate the subjection of the existing projects and get their maximum subjection under specific weight set. Finally the optimal measure project has been obtained. The signal integrity, data throughput, cost, degree of automation, volume scale and expansion capabilities are regarded as integrated key factors according to bus forms and system architecture. The optimal measure project of ATS is determined by finding maximum subjection. Therefore the selection method enhances the cost-effectiveness of ATS formation.

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Periodical:

Applied Mechanics and Materials (Volumes 128-129)

Pages:

994-997

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.128-129.994

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Online since:

October 2011

Authors:

Xian Feng Zu, Yu Qin Han, Gong Liu

Keywords:

Automatic Test System (ATS), Maximum Subjection Principle, Multi-Objective Optimization (MOP), System Architecture

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References

[1] Xie Tao, Chen Huowang: Evolutionary Algorithms for Multi-objective Optimization and Decision-Making Problems. Engineering Science of China, 2002. 2: 60~68.

Google Scholar

[2] Qingchao Sun，Gang Guo，Gang Wang．Multi-Level Fuzzy Comprehensive Evaluation Based on NPD Planning [J] ．WCICA 2006 Intelligent Control and Automation：7064~7068.

DOI: 10.1109/wcica.2006.1714455

Google Scholar

[3] WANG Yu-cai，XIA Xin-tao，WANG Zhong-yu: Blur Selection of Optimal Measure Project for the Precision Roller, Roller, 2002. 9: 29~32.

Google Scholar

[4] CHEN Ai-guo，ZHOU Shi-jun: The Approach to Solving Multi-Objective Optimization Problems Applying Genetic Algorithm Based on Fuzzy Logic, HENAN SCIENCE, 2006. 8: 482~484.

Google Scholar

[5] Reynolds C．Optimizing signal integrity, data throughput, and costs in mixed architecture systems [J] ．IEEE AUTOTESTCON Proceedings, Oct. 2002：184~193.

DOI: 10.1109/autest.2002.1047890

Google Scholar