Title :
Framework design for reliability engineering of complex systems
Author :
Yuansheng Lin ; Daqing Li ; Chaoran Liu ; Rui Kang
Author_Institution :
Sch. of Reliability & Syst. Eng., Beihang Univ., Beijing, China
Abstract :
Complex systems are known to show emergent, unexpected failure behaviors due to their inherent interdependency and interaction, including Internet, power grid, transportation systems and even financial systems. These complexities and the corresponding failure behaviors pose a challenge to traditional reliability engineering, since reliability of complex systems could not be comprehensively analyzed by methods such as FTA and FMECA, etc. Complex network theory is an effective and available technique to characterize the complex systems. The study on failure behaviors of complex systems combined with complex network theory will help to overcome the barriers in analyzing, calculating and improving the reliability of complex systems. A framework for the reliability engineering of complex systems is proposed in this paper, which is illustrated by an example of IEEE 14 BUS. The reliability of this typical complex system is calculated, and the vulnerable part of the system has also been identified, which can help us to improve the system reliability in terms of management and future design activities.
Keywords :
large-scale systems; network theory (graphs); reliability theory; FMECA; FTA; IEEE 14 bus; Internet; complex systems; failure mode effects and criticality analysis; fault tree analysis; financial systems; power grid; reliability engineering; transportation systems; Complex networks; Erbium; Power system faults; Power system protection; Reliability engineering; Reliability theory; complex network theory; complex systems; failure behaviors; reliability engineering;
Conference_Titel :
Cyber Technology in Automation, Control, and Intelligent Systems (CYBER), 2014 IEEE 4th Annual International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4799-3668-7
DOI :
10.1109/CYBER.2014.6917429