DocumentCode :
3514612
Title :
Reliability allocation principle for large scale system
Author :
Xie, Liyang ; Xu, Jiafu ; Lin, Wenqiang
Author_Institution :
Coll. of Mech. Eng. & Autom., Northeastern Univ., Shenyang, China
fYear :
2009
fDate :
20-24 July 2009
Firstpage :
232
Lastpage :
235
Abstract :
For a large scale series mechanical system composed of a great number of components, the component reliabilities allocated according to classical system reliability model are usually unrealistically high, even though the assigned target reliability for the system is quite low. Generally, system reliability can not be calculated from component reliabilities owing to the dependence among component failures. For the same reason, system reliability can not be simply allocated to the individual components according to traditional system reliability model. Based on comprehensive analysis to the controlling factors of component failure dependence, the present paper introduces new definition of system complexity and component complexity, presents load roughness based principle for system reliability allocation. According to such a principle, system reliability requirement can be reasonably allocated to components.
Keywords :
large-scale systems; reliability theory; component complexity; component failure dependence; large scale series mechanical system; reliability allocation principle; system complexity; system reliability allocation; system reliability model; system reliability requirement; Automation; Dynamic programming; Educational institutions; Electronic mail; Genetic algorithms; Large-scale systems; Linear programming; Optimization methods; Redundancy; Reliability; component complexity; failure dependence; load roughness; reliability allocation; system complexity;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Reliability, Maintainability and Safety, 2009. ICRMS 2009. 8th International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-4903-3
Electronic_ISBN :
978-1-4244-4905-7
Type :
conf
DOI :
10.1109/ICRMS.2009.5270203
Filename :
5270203
Link To Document :
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