Fault Localization in Programmable Microfluidic Devices

Alessandro Bernardini, Chunfeng Liu, Bing Li, Ulf Schlichtmann

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

Abstract

Programmable Microfluidic Devices (PMDs) have revolutionized the traditional biochemical experiment flow. Test algorithms for PMDs have recently been proposed. Test patterns can be generated algorithmically. But an algorithm for fault localization once some faults have been identified is not yet available. When testing a PMD, once a test pattern fails it is unknown where the stuck valve is located. The stuck valve can be any one valve out of many valves forming the test pattern. In this paper, we propose an effective algorithm for the localization of stuck-at-0 faults and stuck-at-1 faults in a PMD. The stuck valve is localized either exactly or within a very small set of candidate valves. Once the locations of faulty valves are known, it becomes possible to continue to use the PMD by resynthesizing the application.

Original languageEnglish
Title of host publicationProceedings of the 2019 Design, Automation and Test in Europe Conference and Exhibition, DATE 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1607-1610
Number of pages4
ISBN (Electronic)9783981926323
DOIs
StatePublished - 14 May 2019
Event22nd Design, Automation and Test in Europe Conference and Exhibition, DATE 2019 - Florence, Italy
Duration: 25 Mar 201929 Mar 2019

Publication series

NameProceedings of the 2019 Design, Automation and Test in Europe Conference and Exhibition, DATE 2019

Conference

Conference22nd Design, Automation and Test in Europe Conference and Exhibition, DATE 2019
Country/TerritoryItaly
CityFlorence
Period25/03/1929/03/19

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