Details
| Originalsprache | Englisch |
|---|---|
| Titel des Sammelwerks | Proceedings of the 29th European Safety and Reliability Conference, ESREL 2019 |
| Herausgeber/-innen | Michael Beer, Enrico Zio |
| Erscheinungsort | Singapur |
| Seiten | 2325-2331 |
| Seitenumfang | 7 |
| ISBN (elektronisch) | 9789811127243 |
| Publikationsstatus | Veröffentlicht - 2020 |
| Veranstaltung | 29th European Safety and Reliability Conference, ESREL 2019 - Leibniz University Hannover, Hannover, Deutschland Dauer: 22 Sept. 2019 → 26 Sept. 2019 |
Abstract
With the development of aerospace technology, high reliability and long lifetime are becoming the basic requirements and ultimate goals for aerospace products. The commonly used technique for ensuring the reliability of aerospace systems is setting up the backup systems properly, which calls for particular attention to common cause failure (CCF) problems in such systems. Limitation of experimental and field data introduces imprecision in the performance characterization of components that need to be taken into consideration for assessing the system reliability. In this paper, we adopt the concept of survival signature to estimate the reliability of aerospace systems with multiple types of components. Particular attention is devoted to CCFs, which are modelled and quantified by parametric models. The component importance measure is enhanced in order to assess the importance of various possible CCF scenarios and to identify their potential impact on the system reliability. Uncertainties of CCF events are reduced by Bayesian inference. The presented method is used to analyse the reliability of the dual-axis pointing mechanism for a communication satellite, which is a commonly used satellite antenna control mechanism. The engineering application demonstrates the effectiveness of the method.
ASJC Scopus Sachgebiete
- Ingenieurwesen (insg.)
- Sicherheit, Risiko, Zuverlässigkeit und Qualität
- Sozialwissenschaften (insg.)
- Sicherheitsforschung
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Proceedings of the 29th European Safety and Reliability Conference, ESREL 2019. Hrsg. / Michael Beer; Enrico Zio. Singapur, 2020. S. 2325-2331.
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - Common cause failure importance analysis for aerospace systems
AU - Mi, Jinhua
AU - Beer, Michael
AU - Li, Yan-Feng
AU - Broggi, Matteo
AU - Cheng, Yuhua
N1 - Funding information: This work was partially supported by the National Natural Science Foundation of China under Contract No. 51805073 and U1830207, Chinese Universities Scientific Fund under contract No. ZYGX2018J061. Jinhua Mi wishes to acknowledge the financial support of the China Scholarship Council.
PY - 2020
Y1 - 2020
N2 - With the development of aerospace technology, high reliability and long lifetime are becoming the basic requirements and ultimate goals for aerospace products. The commonly used technique for ensuring the reliability of aerospace systems is setting up the backup systems properly, which calls for particular attention to common cause failure (CCF) problems in such systems. Limitation of experimental and field data introduces imprecision in the performance characterization of components that need to be taken into consideration for assessing the system reliability. In this paper, we adopt the concept of survival signature to estimate the reliability of aerospace systems with multiple types of components. Particular attention is devoted to CCFs, which are modelled and quantified by parametric models. The component importance measure is enhanced in order to assess the importance of various possible CCF scenarios and to identify their potential impact on the system reliability. Uncertainties of CCF events are reduced by Bayesian inference. The presented method is used to analyse the reliability of the dual-axis pointing mechanism for a communication satellite, which is a commonly used satellite antenna control mechanism. The engineering application demonstrates the effectiveness of the method.
AB - With the development of aerospace technology, high reliability and long lifetime are becoming the basic requirements and ultimate goals for aerospace products. The commonly used technique for ensuring the reliability of aerospace systems is setting up the backup systems properly, which calls for particular attention to common cause failure (CCF) problems in such systems. Limitation of experimental and field data introduces imprecision in the performance characterization of components that need to be taken into consideration for assessing the system reliability. In this paper, we adopt the concept of survival signature to estimate the reliability of aerospace systems with multiple types of components. Particular attention is devoted to CCFs, which are modelled and quantified by parametric models. The component importance measure is enhanced in order to assess the importance of various possible CCF scenarios and to identify their potential impact on the system reliability. Uncertainties of CCF events are reduced by Bayesian inference. The presented method is used to analyse the reliability of the dual-axis pointing mechanism for a communication satellite, which is a commonly used satellite antenna control mechanism. The engineering application demonstrates the effectiveness of the method.
KW - Common cause failure
KW - Dual-axis pointing mechanism
KW - Importance analysis
KW - Imprecise system
KW - Reliability analysis
KW - Survival signature
UR - http://www.scopus.com/inward/record.url?scp=85089188595&partnerID=8YFLogxK
U2 - 10.3850/978-981-11-2724-3_0855-cd
DO - 10.3850/978-981-11-2724-3_0855-cd
M3 - Conference contribution
AN - SCOPUS:85089188595
SP - 2325
EP - 2331
BT - Proceedings of the 29th European Safety and Reliability Conference, ESREL 2019
A2 - Beer, Michael
A2 - Zio, Enrico
CY - Singapur
T2 - 29th European Safety and Reliability Conference, ESREL 2019
Y2 - 22 September 2019 through 26 September 2019
ER -