Sensor Minimization Problems with Static or Dynamic Observers for Fault Diagnosis

Franck Cassez*, Stavros Tripakis, Karine Altisen

*Corresponding author for this work

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

22 Citations (Scopus)

Abstract

We study sensor minimization problems in the context of fault diagnosis. Fault diagnosis consists of synthesizing a diagnoser that observes a given plant and identifies faults in the plant as soon as possible after their occurrence. Existing literature on this problem has considered the case of static observers, where the set of observable events does not change during execution of the system. In this paper, we consider static as well as dynamic observers, where the observer can switch sensors on or off, thus dynamically changing the set of events it wishes to observe.

Original languageEnglish
Title of host publicationProceedings - 7th International Conference on Application of Concurrency to System Design, ACSD 2007
Place of PublicationLos Alamitos, Calif.
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages90-99
Number of pages10
ISBN (Print)076952902X, 9780769529028
DOIs
Publication statusPublished - 2007
Externally publishedYes
Event17th International Conference on Application of Concurrency to System Design, ACSD 2007 - Bratislava, Slovakia
Duration: 10 Jul 200713 Jul 2007

Other

Other17th International Conference on Application of Concurrency to System Design, ACSD 2007
Country/TerritorySlovakia
CityBratislava
Period10/07/0713/07/07

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