文章基本信息

标题：Fault Diagnosis of state Variable Biquad Using CFOAs and their Neural Predictive Model
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作者：Mahendra Kumar ; Prof. R.K.Singh ; Prof. D.S. Chauhan 等
期刊名称：International Journal of Advanced Research In Computer Science and Software Engineering
印刷版ISSN：2277-6451
电子版ISSN：2277-128X
出版年度：2013
卷号：3
期号：8
出版社：S.S. Mishra
摘要：A fault Diagnosis methodology is proposed based on feed forward neural networks to analyze the analog circuits. In this process, the frequency response of analog circuit is obtained to built the the fault dictionary. This paper present the fault Diagnosis of state variable biquad using CFOAs using feed forward neural predictive model. Workability of state variable biquad using CFOAs has been confirmed through Monte Carlo analysis using PSPICE. This technique is useful in diagnosing and locating fault exactly.
关键词：Fault Diagnosis; Current feedback operational amplifier; neural predictive model