Details
| Original language | English |
|---|---|
| Title of host publication | 2019 International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering, QR2MSE |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 774-782 |
| Number of pages | 9 |
| ISBN (electronic) | 9781728114279 |
| ISBN (print) | 9781728114286 |
| Publication status | Published - 2019 |
| Event | 9th International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering - Zhangjiajie, Zhangjiajie, China Duration: 6 Aug 2019 → 9 Aug 2019 |
Abstract
A reliability assessment framework is severely influenced by hybrid uncertainty, dependent failure and many other important factors. To this end, this paper proposed a more complete reliability assessment framework for computation of hybrid uncertainty and dependent failure. Bayesian Network is a common technique to model complex systems and propagates system information. On the basis of Bayesian Network, this paper use probability-box to represent hybrid uncertainty and Copula function to manipulate dependent failure. An availability case of a precision compensation loop of hydraulic system for heavy computerized numerical control machine tool is used to illustrate the applicability of our computation framework in practical problems.
Keywords
- Copula function, dependent failure, hybrid uncertainty, probability-box
ASJC Scopus subject areas
- Engineering(all)
- Safety, Risk, Reliability and Quality
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2019 International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering, QR2MSE. Institute of Electrical and Electronics Engineers Inc., 2019. p. 774-782 9021202.
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Computation of Hybrid Uncertainty and Dependent Failure in System Reliability Analysis and Assessment
AU - Song, Yu-Fei
AU - Mi, Jinhua
AU - Cheng, Yuhua
AU - Beer, Michael
AU - Broggi, Matteo
N1 - Funding information: This work was partially supported by the National Natural Science Foundation of China (No. 51805073 and U1830207), the Chinese Universities Scientific Fund (No. ZYGX2018J061) and the Sichuan Science and Technology Project (No. 2019JDJQ0015).
PY - 2019
Y1 - 2019
N2 - A reliability assessment framework is severely influenced by hybrid uncertainty, dependent failure and many other important factors. To this end, this paper proposed a more complete reliability assessment framework for computation of hybrid uncertainty and dependent failure. Bayesian Network is a common technique to model complex systems and propagates system information. On the basis of Bayesian Network, this paper use probability-box to represent hybrid uncertainty and Copula function to manipulate dependent failure. An availability case of a precision compensation loop of hydraulic system for heavy computerized numerical control machine tool is used to illustrate the applicability of our computation framework in practical problems.
AB - A reliability assessment framework is severely influenced by hybrid uncertainty, dependent failure and many other important factors. To this end, this paper proposed a more complete reliability assessment framework for computation of hybrid uncertainty and dependent failure. Bayesian Network is a common technique to model complex systems and propagates system information. On the basis of Bayesian Network, this paper use probability-box to represent hybrid uncertainty and Copula function to manipulate dependent failure. An availability case of a precision compensation loop of hydraulic system for heavy computerized numerical control machine tool is used to illustrate the applicability of our computation framework in practical problems.
KW - Copula function
KW - dependent failure
KW - hybrid uncertainty
KW - probability-box
UR - http://www.scopus.com/inward/record.url?scp=85082384100&partnerID=8YFLogxK
U2 - 10.1109/QR2MSE46217.2019.9021202
DO - 10.1109/QR2MSE46217.2019.9021202
M3 - Conference contribution
AN - SCOPUS:85082384100
SN - 9781728114286
SP - 774
EP - 782
BT - 2019 International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering, QR2MSE
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 9th International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering
Y2 - 6 August 2019 through 9 August 2019
ER -