Fault diagnosis in dynamic systems: theory and application
Fault diagnosis in dynamic systems: theory and application
Readings in model-based diagnosis
Readings in model-based diagnosis
Readings in model-based diagnosis
Focusing based on the structure of a model in model-based diagnosis
International Journal of Man-Machine Studies
Gas-Turbine Condition Monitoring Using Qualitative Model-Based Diagnosis
IEEE Expert: Intelligent Systems and Their Applications
Lessons Learned from Diagnosing Dynamic Systems Using Possible Conflicts and Quantitative Models
Proceedings of the 14th International conference on Industrial and engineering applications of artificial intelligence and expert systems: engineering of intelligent systems
Stacking Dynamic Time Warping for the Diagnosis of Dynamic Systems
Current Topics in Artificial Intelligence
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Consistency-based diagnosis is a main research area in Model-based diagnosis. Many approaches to consistency-based diagnosis need to compute the set of conflicts to generate diagnosis candidates. Possible conflicts are introduced as an alternative to dependency-recording engines for conflict calculation. Given a qualitative representation of system description, then search for those subsystems capable to generate predictions, and hence, capable to become conflicts. We define this concept for static systems, and later on we extend the definition to deal with continuous dynamic environments. Moreover, we explain how to do consitency-based diagnosis using possible conflicts.