Verifying the precision of diagnostic algorithms

Xingyu Su, Alban Grastien

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

    4 Citations (Scopus)

    Abstract

    Diagnosis of discrete event systems requires to decide whether the system model allows for certain types of executions to take place. Because this problem is hard, incomplete yet faster algorithms may be needed. This however can lead to a loss of precision. This paper presents a method to decide whether precision is maintained by such incomplete algorithms. To this end we define the Simulation, which is a modification of the model that simulates how the algorithm works. We then use the twin plant method to decide whether diagnosability is maintained despite the imprecision of the diagnostic algorithm. We illustrate the benefits of this approach on two diagnostic algorithms, namely Independent-Windows Algorithms and Chronicle-based Diagnosis.

    Original languageEnglish
    Title of host publicationECAI 2014 - 21st European Conference on Artificial Intelligence, Including Prestigious Applications of Intelligent Systems, PAIS 2014, Proceedings
    EditorsTorsten Schaub, Gerhard Friedrich, Barry O'Sullivan
    PublisherIOS Press BV
    Pages861-866
    Number of pages6
    ISBN (Electronic)9781614994183
    DOIs
    Publication statusPublished - 2014
    Event21st European Conference on Artificial Intelligence, ECAI 2014 - Prague, Czech Republic
    Duration: 18 Aug 201422 Aug 2014

    Publication series

    NameFrontiers in Artificial Intelligence and Applications
    Volume263
    ISSN (Print)0922-6389
    ISSN (Electronic)1879-8314

    Conference

    Conference21st European Conference on Artificial Intelligence, ECAI 2014
    Country/TerritoryCzech Republic
    CityPrague
    Period18/08/1422/08/14

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