Failure Diagnosis and Recovery based on DES Framework

Son, HI

doi:10.1007/s10845-007-0018-8

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Failure Diagnosis and Recovery based on DES Framework

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

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Citation

Son, H. (2007). Failure Diagnosis and Recovery based on DES Framework. Journal of Intelligent Manufacturing, 18(2), 249-260. doi:10.1007/s10845-007-0018-8.

Cite as: https://hdl.handle.net/11858/00-001M-0000-0013-CEA3-5

Abstract

As many industrial systems become more complex, it becomes extremely difficult to diagnose 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. The design procedure for diagnoser is presented along with a pump-valve system as a illustrative example.