Modeling partially observable systems can be useful in many applications. There are multiple techniques and tools to model DES (Discrete Event Systems) and partially observable systems using Stochastic Timed Petri Nets. It would be good if we model the system using STPN for fault detection. Thus, my question is "Do you have any idea how to model partially observable systems using Stochastic Timed Petri Nets for fault detection?"
Dear Guru,
I suggest you to see links and attached files on topic.
-Application and Theory of Petri Nets and Concurrency: 39th ...
https://books.google.com.tr/books?isbn=3319912682
-Marking Estimation of Petri Nets With Silent Transitions - Semantic ...
https://www.semanticscholar.org/...Petri-Nets...Giua-Seatzu/9d83ed...
-(PDF) Fault detection of discrete event systems using Petri nets and ...
https://www.researchgate.net/.../222696167_Fault_detection_of_di...
-Overview of fault diagnosis methods for Discrete Event Systems
www.joinville.udesc.br/.../Overview_of_fault_diagnosis_methods_...
-Stochastic DES Fault Diagnosis with Coloured Interpreted Petri Nets
https://www.hindawi.com/journals/mpe/2015/303107/
-Fault Detection and Diagnosis in Distributed Systems: An Approach by ...
people.rennes.inria.fr/Eric.Fabre/Papiers/JDEDS_98.pdf
Best regards
Dear Lafifi, thank you so much for your answer, a list of very useful references.
Dear Guru,
I'm never implement a system in timed Petri net, your idea is an interesting fashion. Now I'm applying the techniques of other modeling languages with Colored Petri net for partially variable observation of a process design. such as: Conference Paper Refactoring Refinement Structure of Event-B Machines
May you get the solutions as soon.
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