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A novel double fault diagnosis and detection technique in digital microfluidic biochips
S CHOWDHURY, , G SAHA
Published in Springer Verlag
2015
Volume: 9339
   
Pages: 181 - 192
Abstract
This paper presents a rigorous offline double fault diagnosis as well as a detection technique for Digital Microfluidic Biochips (DMFBs). Due to the underlying mixed technology biochips exhibit unique failure mechanisms and defects. Thus, offline and online test mechanisms are required to certify the dependability of the system. In this paper, the proposed algorithm detects double faults anywhere in the chip satisfying the dynamic fluidic constraints and improves the fault diagnosis time to an extent. © IFIP International Federation for Information Processing 2015.
About the journal
JournalData powered by TypesetLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PublisherData powered by TypesetSpringer Verlag
ISSN0302-9743
Open AccessNo