A qualitative physics based on confluences
Artificial Intelligence - Special volume on qualitative reasoning about physical systems
Artificial Intelligence - Special volume on qualitative reasoning about physical systems
Artificial Intelligence
Real-time knowledge-based systems
AI Magazine
Model-based reasoning: troubleshooting
Exploring artificial intelligence
Qualitative-numeric simulation with Q3
Recent advances in qualitative physics
Expert Systems for Monitoring and Control
Expert Systems for Monitoring and Control
Qualitative simulation of dynamic chemical processes
Qualitative simulation of dynamic chemical processes
Robust fault diagnosis of physical systems in operation
Robust fault diagnosis of physical systems in operation
Expert System Hardware for Fault Detection
Applied Intelligence
A Knowledge-Based Control Architecture with Interactive Reasoning Functions
IEEE Transactions on Knowledge and Data Engineering
Diamon: A Model-Based Troubleshooter Based on Qualitative Reasoning
IEEE Expert: Intelligent Systems and Their Applications
An Expert System for Ironmaking
Proceedings of the 14th International conference on Industrial and engineering applications of artificial intelligence and expert systems: engineering of intelligent systems
Qualitative simulation and related approaches for the analysis of dynamic systems
The Knowledge Engineering Review
Experiment selection for the discrimination of semi-quantitative models of dynamical systems
Artificial Intelligence
Rough intervals: enhancing intervals for qualitative modeling of technical systems
Artificial Intelligence
The Knowledge Engineering Review
Monitoring piecewise continuous behaviors by refining semi-quantitative trackers
IJCAI'99 Proceedings of the 16th international joint conference on Artificial intelligence - Volume 2
Using modeling knowledge to guide design space search
Artificial Intelligence
Experiment selection for the discrimination of semi-quantitative models of dynamical systems
Artificial Intelligence
Rough intervals---enhancing intervals for qualitative modeling of technical systems
Artificial Intelligence
Engineering Applications of Artificial Intelligence
Automated model generation for complex systems
MIC '08 Proceedings of the 27th IASTED International Conference on Modelling, Identification and Control
A benchmark diagnostic model generation system
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans - Special issue on model-based diagnostics
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A framework for process monitoring and diagnosis, called Mimic, is described. Mimic is based on the observation that the key cognitive skill for process operators is the formation of a mental model that not only accounts for current observations but also lets them predict near-term behavior as well as the effect of possible control actions. Mimic exploits three relatively new technologies: semiquantitative simulation, measurement interpretation (tracking), and model-based diagnosis. These technologies work together in a hypothesize-build-simulate-match cycle. Each of these technologies is discussed. To illustrate Mimic at work, an electric water heater modeled and tested with Mimic is considered. The advantages and limitations of Mimic, as seen by this example, are examined. Related work is discussed.