Adaptive test flow for mixed-signal/RF circuits using learned information from device under test

Ender Yilmaz, Sule Ozev, Kenneth M. Butler

Research output: Chapter in Book/Report/Conference proceedingConference contribution

18 Citations (Scopus)

Abstract

Despite their small size, analog/mixed-signal circuits start with an extensive set of parameters to test for. During production ramp up, most of these tests are dropped using statistical analysis techniques based on the dropout patterns. While effective in reducing the number of tests, this approach treats each device in an identical manner. As the statistical diversity of the devices increases due to increasing process variations, such homogeneous testing approaches may prove to be inefficient. After a number of initial measurements, device-specific information is available, which can provide clues as to where in the process space that device falls. Using this information, the test set for each device can be tailored with respect to its own statistical information. In this paper, we present an adaptive test flow for mixed-signal circuits that aims at optimizing the test set per-device basis so that more test resources can be devoted to marginal devices whereas devices that fall in the middle of the process space are passed with less testing. We also include provisions to identify potentially defective devices and test them more extensively since these devices do not conform to learned collective information. We conduct experiments on an LNA circuit in simulations and apply our techniques to production data of two distinct industrial circuits. Both the simulation results and the results on large-scale production data show that adaptive test provides the best trade-off between test time and test quality as measured in terms of defective parts per million.

Original languageEnglish (US)
Title of host publicationProceedings - International Test Conference
DOIs
StatePublished - 2010
Event41st International Test Conference, ITC 2010 - Austin, TX, United States
Duration: Oct 31 2010Nov 5 2010

Other

Other41st International Test Conference, ITC 2010
CountryUnited States
CityAustin, TX
Period10/31/1011/5/10

Fingerprint

Adaptive Test
Networks (circuits)
Testing
Test Set
Statistical methods
Process Variation
Drop out
Experiments
Statistical Analysis
Simulation
Trade-offs

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Applied Mathematics

Cite this

Adaptive test flow for mixed-signal/RF circuits using learned information from device under test. / Yilmaz, Ender; Ozev, Sule; Butler, Kenneth M.

Proceedings - International Test Conference. 2010. 5699271.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Yilmaz, E, Ozev, S & Butler, KM 2010, Adaptive test flow for mixed-signal/RF circuits using learned information from device under test. in Proceedings - International Test Conference., 5699271, 41st International Test Conference, ITC 2010, Austin, TX, United States, 10/31/10. https://doi.org/10.1109/TEST.2010.5699271
Yilmaz, Ender ; Ozev, Sule ; Butler, Kenneth M. / Adaptive test flow for mixed-signal/RF circuits using learned information from device under test. Proceedings - International Test Conference. 2010.
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