Details
| Original language | English |
|---|---|
| Number of pages | 7 |
| Publication status | Published - 2015 |
| Externally published | Yes |
| Event | 12th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2012 - Vancouver, Canada Duration: 12 Jul 2015 → 15 Jul 2015 |
Conference
| Conference | 12th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2012 |
|---|---|
| Country/Territory | Canada |
| City | Vancouver |
| Period | 12 Jul 2015 → 15 Jul 2015 |
Abstract
It is essential to conduct a reliability analysis of systems with multiple types of components, and deal with the uncertainties within the components failure time distribution. Moreover, finding the most "critical" component in the system at a certain time facilitates a risk management. In this paper, we introduce the survival signature into a real world hydro power plant system and solve the epistemic uncertainties in the component's failure time distribution. By implementing a relative importance index for each component, we can derive the reliability trend of the system depending on a component failure. The results show that the survival signature used on reliability analysis can help us deal with real world systems with more than one component type as well as to get bounds on system responses concerning epistemic uncertainties.
ASJC Scopus subject areas
- Engineering(all)
- Civil and Structural Engineering
- Mathematics(all)
- Statistics and Probability
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2015. Paper presented at 12th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2012, Vancouver, Canada.
Research output: Contribution to conference › Paper › Research › peer review
}
TY - CONF
T1 - Reliability analysis of systems based on survival signature
AU - Feng, Geng
AU - Patelli, Edoardo
AU - Beer, Michael
PY - 2015
Y1 - 2015
N2 - It is essential to conduct a reliability analysis of systems with multiple types of components, and deal with the uncertainties within the components failure time distribution. Moreover, finding the most "critical" component in the system at a certain time facilitates a risk management. In this paper, we introduce the survival signature into a real world hydro power plant system and solve the epistemic uncertainties in the component's failure time distribution. By implementing a relative importance index for each component, we can derive the reliability trend of the system depending on a component failure. The results show that the survival signature used on reliability analysis can help us deal with real world systems with more than one component type as well as to get bounds on system responses concerning epistemic uncertainties.
AB - It is essential to conduct a reliability analysis of systems with multiple types of components, and deal with the uncertainties within the components failure time distribution. Moreover, finding the most "critical" component in the system at a certain time facilitates a risk management. In this paper, we introduce the survival signature into a real world hydro power plant system and solve the epistemic uncertainties in the component's failure time distribution. By implementing a relative importance index for each component, we can derive the reliability trend of the system depending on a component failure. The results show that the survival signature used on reliability analysis can help us deal with real world systems with more than one component type as well as to get bounds on system responses concerning epistemic uncertainties.
UR - http://www.scopus.com/inward/record.url?scp=84978699074&partnerID=8YFLogxK
U2 - 10.14288/1.0076101
DO - 10.14288/1.0076101
M3 - Paper
T2 - 12th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2012
Y2 - 12 July 2015 through 15 July 2015
ER -