Title :
SVM Method for Diagnosing Analog Circuits Fault Based on Testability Analysis
Author :
Sun, Yongkui ; Chen, Guangju ; Li, Hui
Author_Institution :
Univ. of Electron. Sci. & Technol. of China, Chengdu
Abstract :
In this paper a new method for diagnosing analog circuits fault is presented. The proposed method use the testability analysis of the circuit under test (CUT) to determine an optimal set of testable components (OSTC), and support vector machine (SVM) was introduced to identify the analog circuits fault. Testability analysis theoretically determines all of the diagnosable components. SVM has good characteristics of simple structure and strong generalization ability. Experimental results show that the proposed method for diagnosing analog circuits fault using testability analysis and SVM is superior to the others and to increase the fault diagnosis accuracy.
Keywords :
circuit analysis computing; circuit testing; fault diagnosis; support vector machines; analog circuits diagnosis; circuit under test; optimal set of testable components; support vector machine; testability analysis; Analog circuits; Artificial intelligence; Automation; Circuit faults; Circuit testing; Electrical fault detection; Fault diagnosis; Fault location; Support vector machine classification; Support vector machines; Analog circuits; Fault diagnosis; SVM; Testability analysis;
Conference_Titel :
Mechatronics and Automation, 2007. ICMA 2007. International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4244-0828-3
Electronic_ISBN :
978-1-4244-0828-3
DOI :
10.1109/ICMA.2007.4304118