Reliability assessment for multi-state systems under uncertainties based on the Dempster-Shafer theory
Autor: | Mohamed Sallak, Walter Schön, Felipe Aguirre |
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Přispěvatelé: | Heuristique et Diagnostic des Systèmes Complexes [Compiègne] (Heudiasyc), Université de Technologie de Compiègne (UTC)-Centre National de la Recherche Scientifique (CNRS) |
Jazyk: | angličtina |
Rok vydání: | 2013 |
Předmět: |
021103 operations research
0211 other engineering and technologies 02 engineering and technology Transmission system Transferable belief model computer.software_genre Industrial and Manufacturing Engineering Interpretation (model theory) [SPI.AUTO]Engineering Sciences [physics]/Automatic Multi-State System (MSS) Component (UML) Dempster–Shafer theory reliability indices 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Transferable Belief Model (TBM) Data mining State (computer science) Dempster-Shafer (D-S) theory Experts' opinion computer Reliability (statistics) Independence (probability theory) Mathematics |
Zdroj: | IIE Transactions IIE Transactions, Taylor & Francis, 2013, 45 (9), pp.995-1007. ⟨10.1080/0740817X.2012.706378⟩ |
ISSN: | 0740-817X 1545-8830 |
DOI: | 10.1080/0740817X.2012.706378⟩ |
Popis: | International audience; This paper presents an original method for evaluating reliability indices for Multi-State Systems (MSSs) in the presence of aleatory and epistemic uncertainties. In many real world MSSs an insufficiency of data makes it difficult to estimate precise values for component state probabilities. The proposed approach applies the Transferable Belief Model (TBM) interpretation of the Dempster-Shafer theory to represent component state beliefs and to evaluate the MSS reliability indices. We use the example of an oil transmission system to demonstrate the proposed approach and we compare it with the Universal Generating Function method. The value of the Dempster-Shafer theory lies in its ability to use several combination rules in order to evaluate reliability indices for MSSs that depend on the reliability of the experts' opinions as well as their independence. |
Databáze: | OpenAIRE |
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