دانلود مقاله انگلیسی رایگان:یک سیستم خبره مبتنی بر یک شبکه بیزی برای تجزیه و تحلیل ایمنی آتش سوزی در منطقه هسته ای - 2019
بلافاصله پس از پرداخت دانلود کنید
دانلود مقاله انگلیسی سیستم های خبره رایگان
  • An expert system based on a Bayesian network for fire safety analysis in nuclear area An expert system based on a Bayesian network for fire safety analysis in nuclear area
    An expert system based on a Bayesian network for fire safety analysis in nuclear area

    سال انتشار:

    2019


    عنوان انگلیسی مقاله:

    An expert system based on a Bayesian network for fire safety analysis in nuclear area


    ترجمه فارسی عنوان مقاله:

    یک سیستم خبره مبتنی بر یک شبکه بیزی برای تجزیه و تحلیل ایمنی آتش سوزی در منطقه هسته ای


    منبع:

    Sciencedirect - Elsevier - Fire Safety Journal, 105 (2019) 28-40: doi:10:1016/j:firesaf:2019:02:007


    نویسنده:

    E. Chojnacki∗, W. Plumecocq, L. Audouin


    چکیده انگلیسی:

    For fire safety studies in nuclear installations, IRSN uses the SYLVIA software. The SYLVIA two-zone model was developed by IRSN to simulate a full ventilation network, fire scenarios in a highly confined and mechanically ventilated facility, and airborne contamination transfers inside nuclear installations. In order to take into account the different sources of uncertainty coming from initial and boundary conditions as well as from model parameters, the SYLVIA software is associated with the SUNSET statistical software. However, such a use of SYLVIA software has a major drawback: it requires a large number of runs and a significant statistical analysis what is not always compatible with the requirements of safety assessments in terms of deadlines. To overcome this difficulty, IRSN is currently developing an expert system based on a SYLVIA database. This approach allows deriving the most likely diagnosis or prognosis in a very short time, but also deriving a more complex form of reasoning intertwining prognostic and diagnostic inferences. The proposed expert system is based on the Bayesian Belief Network (BBN) methodology and consists in two steps: First, a large database obtained from SYLVIA runs allows the estimation of Conditional Probability Tables. Then, a message passing algorithm is used to exploit dynamically this data base. The illustrating example is based on the study of pressure effects due to fire scenarios in nuclear facilities and the database is made up of 1,600,000 runs of the SYLVIA software. The goal of this paper is to detail the methodology and process to carry out an expert system for fire safety studies, and is supported by one example showing how it can be used as a decision support tool for fire safety analysis in nuclear area. To our opinion, the development of expert systems represents a new generation of computational tools in the field of probabilistic fire simulation.
    Keywords: Bayesian network | Expert system | Pressure effects


    سطح: متوسط
    تعداد صفحات فایل pdf انگلیسی: 13
    حجم فایل: 2482 کیلوبایت

    قیمت: رایگان


    توضیحات اضافی:




اگر این مقاله را پسندیدید آن را در شبکه های اجتماعی به اشتراک بگذارید (برای به اشتراک گذاری بر روی ایکن های زیر کلیک کنید)

تعداد نظرات : 0

الزامی
الزامی
الزامی
rss مقالات ترجمه شده rss مقالات انگلیسی rss کتاب های انگلیسی rss مقالات آموزشی