Computation of Importance Measures Using Bayesian Networks for the Reliability and Safety of Complex Systems
- سال انتشار: 1399
- محل انتشار: نشریه بین المللی قابلیت اطمینان، ریسک و ایمنی: نظریه و کاربرد، دوره: 3، شماره: 2
- کد COI اختصاصی: JR_IJRRS-3-2_012
- زبان مقاله: انگلیسی
- تعداد مشاهده: 359
نویسندگان
Mechanical Department of University of Engineering and Technology (UET), Lahore, Pakistan
Mechanical Department of University of Engineering and Technology (UET), Lahore, Pakistan
Mechanical Department of University of Engineering and Technology (UET), Lahore, Pakistan
Mechanical Department of University of Engineering and Technology (UET), Lahore, Pakistan
Mechanical Department of University of Engineering and Technology (UET), Lahore, Pakistan
چکیده
Modern engineering systems have proven to be quite complex due to the involvement of uncertainties and a number of dependencies among the system components. Shortcoming in the inclusion of such complex features results in the wrong assessment of reliability and safety of the system, ultimately to the incorrect engineering decisions. In this paper, the usefulness of Bayesian Networks (BNs) for achieving improved modeling and reliability and risk analysis is investigated. The calculation of a number of Importance Measures with use of Fault Tree Analysis as well as BNs is provided for a complicated railway operation problem. The BNs based safety risk model is investigated in terms of quantitative reliability and safety analysis as well as for multi dependencies and uncertainty modeling.کلیدواژه ها
Reliability, safety, Importance Measures, Probabilistic modelingاطلاعات بیشتر در مورد COI
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