Test Generation for Current Testing (CMOS ICs)
IEEE Design & Test
Dynamic test signal design for analog ICs
ICCAD '95 Proceedings of the 1995 IEEE/ACM international conference on Computer-aided design
Design of robust test criteria in analog testing
Proceedings of the 1996 IEEE/ACM international conference on Computer-aided design
Monitoring Power Dissipation for Fault Detection
Journal of Electronic Testing: Theory and Applications
Analog test design with IDD measurements for the detection of parametric and catastrophic faults
Proceedings of the conference on Design, automation and test in Europe
Real-Time Current Testing for A/D Converters
IEEE Design & Test
Automated test pattern generation for analog integrated circuits
VTS '97 Proceedings of the 15th IEEE VLSI Test Symposium
Detecting Delay Faults using Power Supply Transient Signal Analysis
ITC '01 Proceedings of the 2001 IEEE International Test Conference
Fault Simulation Model for i{DDT} Testing: An Investigation
VTS '04 Proceedings of the 22nd IEEE VLSI Test Symposium
An Approach to the Built-In Self-Test of Field Programmable Analog Arrays
VTS '04 Proceedings of the 22nd IEEE VLSI Test Symposium
Applying the Oscillation Test Strategy to FPAA's Configurable Analog Blocks
Journal of Electronic Testing: Theory and Applications
Defect Oriented Testing of Analog Circuits Using Wavelet Analysis of Dynamic Supply Current
Journal of Electronic Testing: Theory and Applications
Defect Simulation Methodology for iDDT Testing
Journal of Electronic Testing: Theory and Applications
ICOSSSE'05 Proceedings of the 4th WSEAS/IASME international conference on System science and simulation in engineering
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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.