Academic Journal
Evidential Networks for Evaluating Predictive Reliability of Mechatronics Systems under Epistemic Uncertainties
| العنوان: | Evidential Networks for Evaluating Predictive Reliability of Mechatronics Systems under Epistemic Uncertainties |
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| المؤلفون: | Ben Said Amrani, Nabil, Saintis, Laurent, Sarsri, Driss, Barreau, Mihaela |
| المساهمون: | Laboratoire des Technologies de l'Information et de la Communication de l'ENSA de Tanger., Laboratoire Angevin de Recherche en Ingénierie des Systèmes (LARIS), Université d'Angers (UA) |
| المصدر: | ISSN: 1895-8281. |
| بيانات النشر: | HAL CCSD Sciendo |
| سنة النشر: | 2019 |
| مصطلحات موضوعية: | epistemic uncertainties, evidential network, Mechatronics, Multi-domain Interactions, reliability, uncertainty of model, Belief Function, [SPI.OTHER]Engineering Sciences [physics]/Other |
| الوصف: | International audience ; In reliability predicting field, the probabilistic approaches are based on data relating to the components which can be precisely known and validated by the return of experience REX, but in the case of complex systems with high-reliability precision such as mechatronic systems, uncertainties are inevitable and must be considered in order to predict with a degree of confidence the evaluated reliability. In this paper, firstly we present a brief review of the non-probabilistic approaches. Thereafter we present our methodology for assessing the reliability of the mechatronic system by taking into account the epistemic uncertainties (uncertainties in the reliability model and uncertainties in the reliability parameters) considered as a dynamic hybrid system and characterized by the existence of multi-domain interaction between its failed components. The key point in this study is to use an Evidential Network “EN” based on belief functions and the dynamic Bayesian network. Finally, an application is developed to illustrate the interest of the proposed methodology. |
| نوع الوثيقة: | article in journal/newspaper |
| اللغة: | English |
| Relation: | hal-02288851; https://hal.science/hal-02288851; https://hal.science/hal-02288851/document; https://hal.science/hal-02288851/file/10.2478_jok-2019-0045.pdf; OKINA: ua20177 |
| DOI: | 10.2478/jok-2019-0045 |
| الاتاحة: | https://hal.science/hal-02288851 https://hal.science/hal-02288851/document https://hal.science/hal-02288851/file/10.2478_jok-2019-0045.pdf https://doi.org/10.2478/jok-2019-0045 |
| Rights: | info:eu-repo/semantics/OpenAccess |
| رقم الانضمام: | edsbas.C9380E03 |
| قاعدة البيانات: | BASE |
| DOI: | 10.2478/jok-2019-0045 |
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