Diagnostic based on estimation using linear programming for partially observable petri nets with indistinguishable events
العنوان: | Diagnostic based on estimation using linear programming for partially observable petri nets with indistinguishable events |
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المؤلفون: | Atef Khedher, Philippe Declerck, Anas Kamoun, Amira Chouchane |
المصدر: | International Journal of Systems Science: Operations & Logistics. 7:192-205 |
بيانات النشر: | Informa UK Limited, 2018. |
سنة النشر: | 2018 |
مصطلحات موضوعية: | 0209 industrial biotechnology, 021103 operations research, Information Systems and Management, Linear programming, Computer science, 0211 other engineering and technologies, Process (computing), Observable, 02 engineering and technology, Management Science and Operations Research, Petri net, Unobservable, Fault detection and isolation, Management Information Systems, Polyhedron, 020901 industrial engineering & automation, Algebraic number, Algorithm, Computer Science::Databases, Information Systems |
الوصف: | In this paper, we design a diagnostic technique for a partially observed labelled Petri net where the faults of the system are modelled by unobservable transitions. The fault detection and isolation uses an on-line count vector estimation associated with the firing of unobservable transitions exploiting the observation of firing occurrences of some observable transitions. The support of the approach is an algebraic description of the process under the form of a polyhedron developed on a receding horizon. We show that a diagnostic can be made despite that different transitions can share the same label and that the unobservable part of the Petri net can contain circuits. |
تدمد: | 2330-2682 2330-2674 |
الوصول الحر: | https://explore.openaire.eu/search/publication?articleId=doi_________::720de28af437025e6742c6ac01c6d02bTest https://doi.org/10.1080/23302674.2018.1554169Test |
حقوق: | OPEN |
رقم الانضمام: | edsair.doi...........720de28af437025e6742c6ac01c6d02b |
قاعدة البيانات: | OpenAIRE |
تدمد: | 23302682 23302674 |
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