Details
Originalsprache | Englisch |
---|---|
Titel des Sammelwerks | Safety and Reliability of Complex Engineered Systems |
Untertitel | Proceedings of the 25th European Safety and Reliability Conference, ESREL 2015 |
Herausgeber/-innen | Luca Podofillini, Bruno Sudret, Božidar Stojadinović, Enrico Zio, Wolfgang Kröger |
Erscheinungsort | Boca Raton |
Seiten | 1547-1552 |
Seitenumfang | 6 |
Publikationsstatus | Veröffentlicht - 2015 |
Extern publiziert | Ja |
Veranstaltung | 25th European Safety and Reliability Conference, ESREL 2015 - Zurich, Swasiland Dauer: 7 Sept. 2015 → 10 Sept. 2015 |
Abstract
The survival signature provides a basis for efficient reliability assessment of systems with more than one component type. Often a perfect probabilistic modelling of the system is not possible due to limited information, vagueness and imprecision. Hence generalized probabilistic methods need to be used. These methods allow to explicitly model the uncertainties without the need of unjustified hypotheses and approximation. In this paper, a novel and efficient sensitivity approach is presented. The proposed approach is based on survival signature, allowing to identify and rank components in a system. A numerical example is used to illustrate the above methods.
ASJC Scopus Sachgebiete
- Ingenieurwesen (insg.)
- Sicherheit, Risiko, Zuverlässigkeit und Qualität
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Safety and Reliability of Complex Engineered Systems: Proceedings of the 25th European Safety and Reliability Conference, ESREL 2015. Hrsg. / Luca Podofillini; Bruno Sudret; Božidar Stojadinović; Enrico Zio; Wolfgang Kröger. Boca Raton, 2015. S. 1547-1552.
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - Survival signature-based sensitivity analysis of systems with epistemic uncertainties
AU - Feng, G.
AU - Patelli, E.
AU - Beer, M.
PY - 2015
Y1 - 2015
N2 - The survival signature provides a basis for efficient reliability assessment of systems with more than one component type. Often a perfect probabilistic modelling of the system is not possible due to limited information, vagueness and imprecision. Hence generalized probabilistic methods need to be used. These methods allow to explicitly model the uncertainties without the need of unjustified hypotheses and approximation. In this paper, a novel and efficient sensitivity approach is presented. The proposed approach is based on survival signature, allowing to identify and rank components in a system. A numerical example is used to illustrate the above methods.
AB - The survival signature provides a basis for efficient reliability assessment of systems with more than one component type. Often a perfect probabilistic modelling of the system is not possible due to limited information, vagueness and imprecision. Hence generalized probabilistic methods need to be used. These methods allow to explicitly model the uncertainties without the need of unjustified hypotheses and approximation. In this paper, a novel and efficient sensitivity approach is presented. The proposed approach is based on survival signature, allowing to identify and rank components in a system. A numerical example is used to illustrate the above methods.
UR - http://www.scopus.com/inward/record.url?scp=84959019088&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84959019088
SN - 9781138028791
SP - 1547
EP - 1552
BT - Safety and Reliability of Complex Engineered Systems
A2 - Podofillini, Luca
A2 - Sudret, Bruno
A2 - Stojadinović, Božidar
A2 - Zio, Enrico
A2 - Kröger, Wolfgang
CY - Boca Raton
T2 - 25th European Safety and Reliability Conference, ESREL 2015
Y2 - 7 September 2015 through 10 September 2015
ER -