MDS: An Integrated Architecture for Associational and Model-Based Diagnosis
Applied Intelligence
Process algebras for systems diagnosis
Artificial Intelligence
An Information-Theoretic Characterization of Abstraction in Diagnosis and Hypothesis Selection
Proceedings of the 5th International Symposium on Abstraction, Reformulation and Approximation
HSCC '00 Proceedings of the Third International Workshop on Hybrid Systems: Computation and Control
Diagnosis of Physical Systems with Hybrid Models Using Parametrized Causality
HSCC '01 Proceedings of the 4th International Workshop on Hybrid Systems: Computation and Control
An Approach to Model-Based Diagnosis of Hybrid Systems
HSCC '02 Proceedings of the 5th International Workshop on Hybrid Systems: Computation and Control
Causal Simulation and Diagnosis of Dynamic Systems
AI*IA 01 Proceedings of the 7th Congress of the Italian Association for Artificial Intelligence on Advances in Artificial Intelligence
Qualitative simulation and related approaches for the analysis of dynamic systems
The Knowledge Engineering Review
ACM Transactions on Embedded Computing Systems (TECS)
Fuzzy theory approach for temporal model-based diagnosis: An application to medical domains
Artificial Intelligence in Medicine
Toward Cooperative Team-diagnosis in Multi-robot Systems
International Journal of Robotics Research
An Integrated Approach to Parametric and Discrete Fault Diagnosis in Hybrid Systems
HSCC '08 Proceedings of the 11th international workshop on Hybrid Systems: Computation and Control
Computer Games as Intelligent Learning Environments: A River Ecosystem Adventure
Proceedings of the 2005 conference on Artificial Intelligence in Education: Supporting Learning through Intelligent and Socially Informed Technology
An interval-based approach for fault isolation and identification in continuous dynamic systems
Proceedings of the 2008 conference on Artificial Intelligence Research and Development: Proceedings of the 11th International Conference of the Catalan Association for Artificial Intelligence
Improving robustness in consistency-based diagnosis using possible conflicts
Proceedings of the 2008 conference on ECAI 2008: 18th European Conference on Artificial Intelligence
A qualitative approach to multiple fault isolation in continuous systems
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 1
Model-based diagnosis of hybrid systems
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
Hierarchical representation of complex systems for supporting human decision making
Advanced Engineering Informatics
SQualTrack: a tool for robust fault detection
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Bond graph based Bayesian network for fault diagnosis
Applied Soft Computing
A comprehensive diagnosis methodology for complex hybrid systems
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans - Special issue on model-based diagnostics
Observer for an omnidirectional mobile robot
SpringSim '10 Proceedings of the 2010 Spring Simulation Multiconference
Ensemble methods and model based diagnosis using possible conflicts and system decomposition
IEA/AIE'10 Proceedings of the 23rd international conference on Industrial engineering and other applications of applied intelligent systems - Volume Part II
Fault diagnosability utilizing quasi-static and structural modelling
Mathematical and Computer Modelling: An International Journal
Progress in root cause and fault propagation analysis of large-scale industrial processes
Journal of Control Science and Engineering
Bridging control and artificial intelligence theories for diagnosis: A survey
Engineering Applications of Artificial Intelligence
An event-based distributed diagnosis framework using structural model decomposition
Artificial Intelligence
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The complexity of present day embedded systems (continuous processes controlled by digital processors), and the increased demands on their reliability motivate the need for monitoring and fault isolation capabilities in the embedded processors. This paper develops monitoring, prediction, and fault isolation methods for abrupt faults in complex dynamic systems. The transient behavior in response to these faults is analyzed in a qualitative framework using parsimonious topological system models. Predicted transient effects of hypothesized faults are captured in the form of signatures that specify future faulty behavior as higher order time-derivatives. The dynamic effects of faults are analyzed by a progressive monitoring scheme till transient analysis mechanisms have to be suspended in favor of steady state analysis. This methodology has been successfully applied to monitoring of the secondary sodium cooling loop of a fast breeder reactor