Title :
Current test methods in mixed signal circuits
Author :
Bracho, S. ; Martinez, M. ; Arguelles, J.
Author_Institution :
Dept. de Electron., Cantabria Univ., Santander, Spain
Abstract :
The increase in importance of mixed mode ASICs has brought about a new interest in testing this kind of circuit. Nevertheless, these techniques have not yet reached the same level of development as that achieved in digital circuits. Recently a lot of work has been done applying current test methods to analogue and mixed circuits probing the capability that these techniques have to unify the test of the analogue and the digital parts of the mixed circuits. In this paper we review the most effective techniques proposed for test pattern generation and fault detection for power supply current testing in mixed circuits. The use of quiescent, transient and the spectral analysis of the power supply consumption current are analysed and compared. The consideration of catastrophic and parametric faults made it necessary to apply spectral analysis and multivariate statistics to the power supply current signal. Experimental results of these methods are given in some analogue-digital circuits, such as a digital-to-analogue converter circuits
Keywords :
automatic testing; fault diagnosis; integrated circuit testing; mixed analogue-digital integrated circuits; spectral analysis; transient analysis; catastrophic faults; digital-to-analogue converter circuits; fault detection; mixed mode ASICs; mixed signal circuits; multivariate statistics; parametric faults; power supply current signal; power supply current testing; quiescent analysis; spectral analysis; test pattern generation; transient analysis; Circuit faults; Circuit testing; Current supplies; Digital circuits; Electrical fault detection; Parametric statistics; Power supplies; Spectral analysis; Test pattern generators; Transient analysis;
Conference_Titel :
Circuits and Systems, 1995., Proceedings., Proceedings of the 38th Midwest Symposium on
Conference_Location :
Rio de Janeiro
Print_ISBN :
0-7803-2972-4
DOI :
10.1109/MWSCAS.1995.510301