Title :
Application of support vector machine algorithm for health condition assessment of analog electronic circuit
Author :
Junyou Shi ; Xiaotian Wang ; Weiwei Cui
Author_Institution :
Sch. of Reliability & Syst. Eng., Beihang Univ., Beijing, China
Abstract :
With the electronic equipment becoming more and more complicated and integrated, accurate grasp of electronic device´s health condition has become increasingly important. In this paper, we think the health condition of the electronic circuits should include health, sub-health and fault, instead of the traditional two health status. For making quantitative evaluation about health condition of electronic circuits, we developed an health condition assessment model based on support vector machine algorithm. In the last, we validated the availability of health condition assessment model for condition assessment by presenting a case.
Keywords :
analogue circuits; circuit reliability; fault diagnosis; support vector machines; analog electronic circuit; electronic circuit fault; electronic device health condition assessment model; electronic equipment; quantitative evaluation; support vector machine algorithm; Circuit faults; Classification algorithms; Electronic circuits; Feature extraction; Regulators; Support vector machines; Voltage control; condition assessment; multi-class classification; quantitative evaluation; support vector machine;
Conference_Titel :
Prognostics and System Health Management Conference (PHM-2014 Hunan), 2014
Conference_Location :
Zhangiiaijie
Print_ISBN :
978-1-4799-7957-8
DOI :
10.1109/PHM.2014.6988139