Incremental fault isolation for dynamic processes

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper wc present an extension to the HS tree method for fault isolation developed by Reiter. This tool is combined with an ITMS based on root antecedents and used to perform incremental state based diagnosis on dynamic process systems. The approach is demonstrated to work by application to an industrial process - an ammonia washer system.

Original languageEnglish
Title of host publicationResearch and Development in Intelligent Systems XXIII
Subtitle of host publication Proceedings of AI 2006, the 26th SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence
EditorsFrans Coenen
PublisherSpringer
Pages333-345
Number of pages13
ISBN (Print)184628662X, 9781846286629
Publication statusPublished - 1 Dec 2007
Event26th SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, AI 2006 - Cambridge, United Kingdom
Duration: 11 Dec 200613 Dec 2006

Conference

Conference26th SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, AI 2006
CountryUnited Kingdom
CityCambridge
Period11/12/0613/12/06

ASJC Scopus subject areas

  • Artificial Intelligence
  • Information Systems

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  • Cite this

    Coghill, G. M., & Wu, G. (2007). Incremental fault isolation for dynamic processes. In F. Coenen (Ed.), Research and Development in Intelligent Systems XXIII : Proceedings of AI 2006, the 26th SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence (pp. 333-345). Springer .