18th IEEE VLSI Test Symposium (VTS'00)
Hidden Markov and Independence Models with Patterns for Sequential BIST
Montreal, Canada
April 30-May 04
ISBN: 0-7695-0613-5
Laurent Brehelin, Laboratoire d'Informatique, de Robotique et de Microelectronique de Montpellier
Olivier Gascuel, Laboratoire d'Informatique, de Robotique et de Microelectronique de Montpellier
Gilles Caraux, Laboratoire d'Informatique, de Robotique et de Microelectronique de Montpellier
Patrick Girard, Laboratoire d'Informatique, de Robotique et de Microelectronique de Montpellier
Christian Landrault, Laboratoire d'Informatique, de Robotique et de Microelectronique de Montpellier
We propose a novel BIST technique for non-scan sequential circuits that does not modify the circuit under test. It uses a learning algorithm to build a hardware test sequence generator capable of reproducing the essential features of a set of precomputed deterministic test sequences. We use for this purpose two new models called Hidden Markov Model with Patterns and Independence Model with Patterns. Compared to existing methods, the proposed technique exhibits very high fault coverage, including performance testing, at the expense of a low silicon area overhead.
Index Terms:
BIST, Sequential Circuit, Machine Learning, HMM
Citation:
Laurent Brehelin, Olivier Gascuel, Gilles Caraux, Patrick Girard, Christian Landrault, "Hidden Markov and Independence Models with Patterns for Sequential BIST," vts, pp.359, 18th IEEE VLSI Test Symposium (VTS'00), 2000