2026-09-20T17:10:19Z https://www.ideals.illinois.edu/oai-pmh

oai:www.ideals.illinois.edu:2142/81219 2023-07-11 col_2142_5131 col_2142_8888 com_2142_5130 com_2142_8887 com_2142_234

Fuchs, W. Kent Venkataraman, Srikanth 2015-09-25T20:10:06Z 2015-09-25T20:10:06Z 10000-01-01 1997 1997 Finally, an integrated technique that uses a combination of static and dynamic processing for the diagnosis of bridging faults in sequential circuits is presented. During diagnosis, the failing outputs from the test are used to adaptively determine the behavior of the bridge at each time-frame. Selective faulty state information is stored by performing accurate bridging fault simulation once before diagnosis. During diagnosis, the state information is used to increase the accuracy of diagnosis. The combination of adaptive simulation, state storage, and path-tracing has low computational requirements. Made available in DSpace on 2015-09-25T20:10:06Z (GMT). No. of bitstreams: 2 license.txt: 4848 bytes, checksum: 96035ab3f5e1c23cc7138a224ce498bd (MD5) 9812798.pdf: 3346974 bytes, checksum: f33c61c73b7e511b7c302586dfa37644 (MD5) Previous issue date: 1997 Embargo set by: Seth Robbins for item 82500 Lift date: Forever Reason: Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs U of I Only 104 p. Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1997. http://hdl.handle.net/2142/81219 (MiAaPQ)AAI9812798 eng Computer Science Simulation- and Deduction-Based Techniques for Fault Diagnosis text Electrical Engineering Electrical Engineering University of Illinois at Urbana-Champaign Dissertation Ph.D.