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  Failure Diagnosis and Recovery based on DES Framework

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.

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 Urheber:
Son, HI1, Autor           
Affiliations:
1Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497797              

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 Zusammenfassung: 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.

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 Datum: 2007-02
 Publikationsstatus: Erschienen
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Titel: Journal of Intelligent Manufacturing
Genre der Quelle: Zeitschrift
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Ort, Verlag, Ausgabe: -
Seiten: - Band / Heft: 18 (2) Artikelnummer: - Start- / Endseite: 249 - 260 Identifikator: -