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Wyszukujesz frazę "bayesian network" wg kryterium: Temat


Wyświetlanie 1-3 z 3
Tytuł:
Bayesian methods in reliability of search and rescue action
Autorzy:
Burciu, Z.
Powiązania:
https://bibliotekanauki.pl/articles/259315.pdf
Data publikacji:
2010
Wydawca:
Politechnika Gdańska. Wydział Inżynierii Mechanicznej i Okrętownictwa
Tematy:
coordinator
SAR action
reliability
Bayesian network
Opis:
This paper concerns the application of bayesian network to planning and monitoring life saving actions at sea. The presented bayesian network was formed a.o. on the basis of the determined life raft safety function. The proposed bayesian network makes it possible to determine reliability of conducted life saving action, with accounting for a large number of events which influence course of the action. Reliability control was proposed to be applied to search and rescue - SAR action in contrast to risk control. Reliability levels were defined to make the assessing of safety of conducted SAR action, possible.
Źródło:
Polish Maritime Research; 2010, 4; 72-78
1233-2585
Pojawia się w:
Polish Maritime Research
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Reactive energy compensator effect on the reliability of a complex electrical system using Bayesian networks
Autorzy:
Reffas, Omar
Sahraoui, Yacine
Nahal, Mourad
Ghoul, Rachida Hadiby
Saad, Salah
Powiązania:
https://bibliotekanauki.pl/articles/1844423.pdf
Data publikacji:
2020
Wydawca:
Polska Akademia Nauk. Polskie Naukowo-Techniczne Towarzystwo Eksploatacyjne PAN
Tematy:
STATCOM
reliability
Complex Electrical System
reactive energy
Bayesian network
Opis:
The static synchronous compensator is presented in order to improve an electrical network system performance. The present work aims to develop a Bayesian methodology for assessing the time-variant reliability of a complex electrical system taking into account reactive energy compensator (STATCOM). However, the complex aspect is not only related to the complexity of electrical system components architecture, nevertheless is allied to electrical network and STATCOM interactions. The Bayesian network is used for coping with this complexity constraint. The reliability-based assessment of reactive energy compensator effect is applied to a real case of a complex electrical system. The proposed Bayesian methodology application reveals that the STATCOM has a significant influence on electrical system reliability and the developed model can provide valuable information for decision makers to improve the system reliability performance.
Źródło:
Eksploatacja i Niezawodność; 2020, 22, 4; 684-693
1507-2711
Pojawia się w:
Eksploatacja i Niezawodność
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Maintenance Evaluation and Optimization of a Multi-State System Based on a Dynamic Bayesian Network
Autorzy:
Dahia, Zakaria
Bellaouar, Ahmed
Dron, Jean-Paul
Powiązania:
https://bibliotekanauki.pl/articles/2023959.pdf
Data publikacji:
2021-09
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
multi-state system
dynamic Bayesian network
reliability
availability
maintenance optimization
Opis:
Nowadays, the main challenge in maintenance is to establish a dynamic maintenance strategy to significantly track and improve the performance measures of multi-state systems in terms of production, quality, security and even the environment. This paper presents a quantitative approach based on Dynamic Bayesian Network (DBN) to model and evaluate the maintenance of multi-state system and their functional dependencies. According to transition relationships between the system states modeled by the Markov process, a DBN model is established. The objective is to evaluate the reliability and the availability of the system with taking into account the impact of maintenance strategies (perfect repair and imperfect repair). Using the proposed approach, the dynamic probabilities of system states can be determined and the subsystems contributing to system failure can also be identified. A practical application is demonstrated by a case study of a blower system. Through the result of the diagnostic inference, to improve the performances of the blower, the critical components C, F, W, and P should be given more attention. The results indicate also that the perfect repair strategy can improve significantly the performances of the blower, while the imperfect repair strategy cannot degrade the performances in comparison to the perfect repair strategy. These results show the effectiveness of this approach in the context of a predictive evaluation process and in providing the opportunity to evaluate the impact of the choices made on the future measurement of systems performances. Finally, through diagnostic analysis, intervention management and maintenance planning are managed efficiently and optimally.
Źródło:
Management and Production Engineering Review; 2021, 13, 3; 3-14
2080-8208
2082-1344
Pojawia się w:
Management and Production Engineering Review
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-3 z 3

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