Fault detection and input stimulus determination for the testing of analog integrated circuits based on power-supply current monitoring

  • Authors:
  • Georges Gielen;Zhihua Wang;Willy Sansen

  • Affiliations:
  • Department of Electrical Engineering, Katholieke Universiteit Leuven, Kardinaal Mercierlaan 94, 3001 Heverlee, Belgium;Department of Electrical Engineering, Katholieke Universiteit Leuven, Kardinaal Mercierlaan 94, 3001 Heverlee, Belgium and Electronic Engineering Department of Tsinghua University, P. R. China;Department of Electrical Engineering, Katholieke Universiteit Leuven, Kardinaal Mercierlaan 94, 3001 Heverlee, Belgium

  • Venue:
  • ICCAD '94 Proceedings of the 1994 IEEE/ACM international conference on Computer-aided design
  • Year:
  • 1994

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Abstract

A new method for the testing and fault detection of analog integrated circuits is presented. Time-domain testing followed by spectral analysis of the power-supply current is used to detect both DC and AC faults. Spectral analysis is applied since the tolerances on the circuit parameters make a direct comparison of waveforms impossible. For the fault detection a probabilistic decision rule is proposed based on a multivariate statistical analysis. Since no extra testing pin is needed and the on-line calculation effort is small, the method can be used for wafer-probe testing as well as final production testing. In addition, a methodology for the selection of the input stimulus is presented that improves the test-ability. Examples demonstrate the efficiency and the effectiveness of the algorithms.