Improving the diagnostic performance for dynamic systems through the use of conflict-driven model decomposition

  • Anibal Bregon
  • , Alexander Feldman
  • , Belarmino Pulido
  • , Gregory Provan
  • , Carlos Alonso-González

Research output: Chapter in Book/Report/Conference proceedingsConference proceedingpeer-review

Abstract

This work studies potential ways of integration of two techniques for fault detection, isolation, and identification in dynamic systems: Lydia-NG suite of diagnosis algorithms and Consistency-based Diagnosis with Possible Conflicts. By integrating both techniques, Lydia-NG will benefit from a more efficient fault detection and isolation task, and Possible Conflicts will benefit from the identification capabilities of Lydia-NG. In this paper, we define a common framework that integrates both techniques, and then we apply the proposed integrated approach to a three-tank system, and draw some conclusions about potential ways of integration.

Original languageEnglish
Title of host publicationPHM 2013 - Proceedings of the Annual Conference of the Prognostics and Health Management Society 2013
EditorsShankar Sankararaman, Indranil Roychoudhury
PublisherPrognostics and Health Management Society
Pages275-287
Number of pages13
ISBN (Electronic)9781936263066
Publication statusPublished - 2013
Event2013 Annual Conference of the Prognostics and Health Management Society, PHM 2013 - New Orleans, United States
Duration: 14 Oct 201317 Oct 2013

Publication series

NamePHM 2013 - Proceedings of the Annual Conference of the Prognostics and Health Management Society 2013

Conference

Conference2013 Annual Conference of the Prognostics and Health Management Society, PHM 2013
Country/TerritoryUnited States
CityNew Orleans
Period14/10/1317/10/13

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