Toward an equation-oriented framework for diagnosis of complex systems

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Feldman, Alexander
Provan, Gregory
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Linköping University Electronic Press
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Diagnosis of complex systems is a critical area for most real-world systems. Given the wide range of system types, including physical systems, logic circuits, state-machines, control systems, and software, there is no commonlyaccepted modeling language or inference algorithms for model-Based Diagnosis (MBD) of such systems. Designing a language that can be used for modeling such a wide class of systems, while being able to efficiently solve the model, is a formidable task. The computational efficiency with which a given model can be solved, although often neglected by designers of modeling languages, is a key to parameter identification and answering MBD challenges. We address this freedom-of-modeling versus model-solving efficiency trade-off challenge by evolving a language for MBD of physical system, called LYDIA. In this paper we report on the abilities of LYDIA to model a class of physical systems, the algorithms that we use for solving MBD problems and the results that we have obtained for several challenging systems.
Model-based diagnosis , Model-based testing , Automated reasoning , Modeling language
Feldman, A. and Provan, G. (2013) 'Toward an equation-oriented framework for diagnosis of complex systems', Proceedings of the 5th International Workshop on Equation-Based Object-Oriented Modeling Languages and Tools (EOOLT 2013), University of Nottingham, UK, 19 April, pp. 65-74. Available at: (Accessed: 5 May 2020)
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