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Fundamentals of model-based diagnosis

 
Over the last 25 years, the Computer Science community and particularly the Artificial Intelligence community, have developed a framework for system diagnosis, called Model-Based Diagnosis. This framework is extremely general and covers a broad range of capabilities including detecting malfunctions, isolating faulty components, handling multiple faults, identifying repair actions, and automatically generating embedded software. This field grew independently of the fault detection and isolation community (FDI) and has developed its own terminologies and conventions. This paper is an attempt to present the fundamental concepts of Model-Based Diagnosis (MBD) in one place and in one consistent terminology, and thus make the field much more accessible to the FDI community.
 
citation

de Kleer, J.; Kurien, J. A. Fundamentals of model-based diagnosis. Proceedings of the 5th IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes; 2003 June 9-11; Washington, DC. Oxford: Elsevier; 2004; 1: 25-36.