DocumentCode :
3457905
Title :
Simple analogue active filter testing using digital modelling
Author :
Leong, Mun Hon ; A´ain, A.Kb.
Author_Institution :
Dept. of Electron. Eng., Malaysia Univ. Teknologi, Malaysia
fYear :
2003
fDate :
25-26 Aug. 2003
Firstpage :
197
Lastpage :
201
Abstract :
This paper presents a new approach to detect analogue catastrophic faults via digital modelling for an analogue filter. Area of interest in this paper is to prove that analogue circuit can be translated into logic gates (0´s or 1´s) and investigates the effectiveness of analogue fault (short and open) in analogy approximate to digital stuck-at fault model. The purpose of testing fault that connects active component to supply terminal (stuck-at fault) is to investigate the characteristic of the output response, whether can successful model analogue fault to logic level. The approach is to sensitise primary input with an arbitrary frequency square-wave as stimuli and observes output signature in transient and frequency response in order to distinguish Go or No-GO. It is a simple method to accelerate production test without any extra circuitry. This approach has been implemented to a frequency-dependant circuit (Butterworth low pass filter) in order to verify its functionability.
Keywords :
Butterworth filters; active filters; fault location; frequency response; logic gates; low-pass filters; transient response; Butterworth low pass filter; analogue active filter testing; analogue catastrophic faults detection; arbitrary frequency square-wave; digital modelling; digital stuck-at fault model; frequency response; transient response; Active filters; Circuit faults; Circuit testing; Digital filters; Electrical fault detection; Fault detection; Frequency; Logic circuits; Logic gates; Logic testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Research and Development, 2003. SCORED 2003. Proceedings. Student Conference on
Print_ISBN :
0-7803-8173-4
Type :
conf
DOI :
10.1109/SCORED.2003.1459692
Filename :
1459692
Link To Document :
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