Fault Detection And Input Stimulus Determination For The Testing Of Analog Integrated Circuits Based On Power-supply Current Monitoring

Author(s):  
G. Gielen ◽  
Zhihua Wang ◽  
W. Sansen
2012 ◽  
Vol 157-158 ◽  
pp. 641-645 ◽  
Author(s):  
Guo He ◽  
Chao Jie Zhang ◽  
Guang Hui Chang ◽  
Shu Hai Liang

A method using principal component analysis (PCA) of dynamic power supply current was proposed for testing of analog circuits in this paper. The basic model of the proposed method and the general rule for analog fault detection were described in detail. At first, the principal component model of fault-free circuits was constructed. Then the circuits-under-test was compared with the principal component model to calculate the statistic for fault detection. The features of power supply current in both time and frequency domain were combined by PCA, and it could overcome the difficulty to determine threshold by empirical knowledge. The proposed method was applied to detect faults of the signal filtering and amplifying circuit, which is used in the ultrasonic liquid-level sensor. The results show that the power supply current contains information about the circuit’s faults, and can be used for fault detection of analog circuits by analyzing this signal.


VLSI Design ◽  
1997 ◽  
Vol 5 (3) ◽  
pp. 223-240
Author(s):  
Mahmoud A. Al-Qutayri ◽  
Peter R. Shepherd

This paper applies the time-domain testing technique and compares the effectiveness of transient voltage and dynamic power supply current measurements in detecting faults in CMOS mixed-signal circuits. The voltage and supply current (iDDT) measurements are analyzed by three methods to detect the presence of a fault, and to establish which measurement achieves higher confidence in the detection. Catastrophic, soft and stuck-at single fault conditions were introduced to the circuit-under-test (CUT). The time-domain technique tests a mixed-signal CUT in a unified fashion, thereby eliminating the need to partition the CUT into separate analogue and digital modules.


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