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Conference Paper

Failure Diagnosis and Recovery based on DES Framework

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http://pubman.mpdl.mpg.de/cone/persons/resource/persons84227

Son,  HI
Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society;

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Citation

Son, H. (2004). Failure Diagnosis and Recovery based on DES Framework. In IEEE International Conference on Mechatronics (ICM '04) (pp. 255-260). Piscataway, NJ, USA: IEEE Operations Center.


Cite as: http://hdl.handle.net/11858/00-001M-0000-0013-D8E3-4
Abstract
As many industrial systems become complex, it is very difficult to identify the cause of failures. This paper presents a new failure diagnosis approach based on discrete-event systems (DES) framework. In particular, the approach is a hybrid of event-based and state-based ones leading to a simpler failure diagnoser with supervisory control capability. In our approach, we include the failure recovery events for failures in the system model in order to derive a diagnoser we refer to as a recoverable diagnoser. Further, in order to reduce the state size of the recoverable diagnoser, a procedure to construct a high-level diagnoser is presented.