Soft Fault Diagnosis of Analog Circuit Based on Particle Swarm Optimization

被引：0
|
作者：
Zhou Longfu [1 ]
Shi Yibing [1 ]
机构：
[1] Univ Elect Sci & Technol China, Sch Automat Engn, Chengdu 610054, Peoples R China
来源：
IEEE CIRCUITS AND SYSTEMS INTERNATIONAL CONFERENCE ON TESTING AND DIAGNOSIS | 2009年
关键词：
Analog Circuit; Soft Fault; Diagnosis; PSO; Linear Program;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In this paper, a single soft fault diagnosis method for analog circuit with tolerance based on Particle Swarm Optimization (PSO) is proposed. The parameter deviation of circuit elements is defined as the element of particle. Node-voltage incremental equations based on the sensitivity analysis are built as constraints of a Linear Programming (LP) equation. Through inducing the penalty coefficient, the LP equation is set as the fitness function for the PSO program. After evaluating the best position of particles, it states whether the actual parameter is within tolerance range or not. Simulation result shows the effectiveness of the method.
引用
收藏
页码：186 / 189
页数：4
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