Simulation- and Deduction-Based Techniques for Fault Diagnosis

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.

Name thesis:degree_name

Ph.D.

Level thesis:degree_level

Dissertation

Discipline thesis:degree_discipline

Electrical Engineering

Grantor

University of Illinois at Urbana-Champaign

Year dc:date

2015

Author dc:creator

• Venkataraman, Srikanth

Contributors dc:contributor

• Fuchs, W. Kent

• Computer Science

Language dc:language

eng

Identifier

(MiAaPQ)AAI9812798

OAI identifier oai:identifier

oai:www.ideals.illinois.edu:2142/81219