Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Possible conflicts: a compilation technique for consistency-based diagnosis.

Belarmino Pulido1, Carlos Alonso González

  • 1Departamento de Informática, Universidad de Valladolid, 47011 Valladolid, Spain. belar@infor.uva.es

IEEE Transactions on Systems, Man, and Cybernetics. Part B, Cybernetics : a Publication of the IEEE Systems, Man, and Cybernetics Society
|October 27, 2004
PubMed
Summary

This study introduces the "possible conflict" concept for efficient model-based diagnosis. This offline compilation technique aids in detecting system faults, especially in dynamic systems, improving artificial intelligence diagnostic methods.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same journal

Strategic Ability Updating in Concurrent Games by Coalitional Commitment.

IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society·2015
Same journal

Meta-Analysis of the First Facial Expression Recognition Challenge.

IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society·2012
Same journal

Adjustable model-based fusion method for multispectral and panchromatic images.

IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society·2012
Same journal

Face Feature Weighted Fusion Based on Fuzzy Membership Degree for Video Face Recognition.

IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society·2012
Same journal

A New Adaptive Fast Cellular Automaton Neighborhood Detection and Rule Identification Algorithm.

IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society·2012
Same journal

Human-arm-and-hand-dynamic model with variability analyses for a stylus-based haptic interface.

IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society·2012

Area of Science:

  • Artificial Intelligence
  • Computer Science
  • Systems Engineering

Background:

  • Consistency-based diagnosis is a key AI approach for model-based diagnosis, involving prediction, conflict detection, and refinement.
  • Conflict detection is theoretically challenging, leading to reliance on dependency recording, which struggles with dynamic systems.
  • Offline dependency compilation offers a promising alternative for enhancing diagnostic efficiency.

Purpose of the Study:

  • Propose the "possible conflict" concept as an offline compilation technique for consistency-based diagnosis.
  • Demonstrate its applicability to dynamic systems and its theoretical underpinnings.
  • Compare this novel approach with existing methods like analytical redundancy relations (ARRs).

Main Methods:

  • Formalize the "possible conflict" concept, defining it as a minimal, potentially conflicting subsystem.

Related Experiment Videos

  • Develop methods for offline computation of all possible conflicts without model evaluation.
  • Extend the concept for diagnosing dynamic systems and analyze its relationship with the General Diagnosis Engine (GDE) framework.

    • Main Results:

    • The "possible conflict" concept enables offline computation of diagnostic information, independent of model evaluation.
    • This approach is extendable to dynamic systems, addressing limitations of previous methods.
    • Comparisons show potential advantages over traditional dependency recording and structural analysis techniques.

    Conclusions:

    • The "possible conflict" concept provides an effective offline compilation strategy for model-based diagnosis.
    • It offers a unified framework, bridging artificial intelligence and control engineering diagnostic approaches.
    • This technique enhances the diagnosis of complex, particularly dynamic, systems.