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    Wyświetlanie 1-5 z 5
    Tytuł:
    An extended risk based inspection methodology
    Autorzy:
    Selvik, J. T.
    Scarf, P.
    Aven, T.
    Powiązania:
    https://bibliotekanauki.pl/articles/2069644.pdf
    Data publikacji:
    2010
    Wydawca:
    Uniwersytet Morski w Gdyni. Polskie Towarzystwo Bezpieczeństwa i Niezawodności
    Tematy:
    maintenance planning
    risk based inspection
    risk
    uncertainty factors
    Opis:
    Risk based inspection (RBI) is a methodology commonly used in planning of inspections for static mechanical equipment, in particular piping networks. The inspections are prioritized based on risk, expressed as expected values, integrating the likelihood and consequences of failures. In this paper we suggest an extension of the RBI methodology which reflects risk and uncertainties beyond expected values. We argue that such an extension is essential for adequately supporting the inspection planning. A pipeline example from the Norwegian oil and gas industry is presented to illustrate and discuss the suggested approach.
    Źródło:
    Journal of Polish Safety and Reliability Association; 2010, 1, 1; 221--230
    2084-5316
    Pojawia się w:
    Journal of Polish Safety and Reliability Association
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    A new methodology of accounting for uncertainty factors in multiple criteria decision making problems
    Autorzy:
    Kalika, V. I.
    Powiązania:
    https://bibliotekanauki.pl/articles/308942.pdf
    Data publikacji:
    2004
    Wydawca:
    Instytut Łączności - Państwowy Instytut Badawczy
    Tematy:
    multiple criteria decision making
    uncertainty factors
    reasonable solutions
    multi-level hierarchical system of multi-variant computation series
    stable-optimal solutions
    scenarios
    Monte Carlo simulations
    Opis:
    A new approach is proposed to select a predetermined number of "reasonable" (the best in a certain sense) alternatives from the considerable (maybe a vast) set of initial alternatives according to an arbitrary number of optimization criteria and accounting for uncertainty factors. The approach is based on using a special intuitive methodology, developed to account for uncertainty factors when solving such multiple criteria decision making (MCDM) problems. This methodology is based on performing multi-variant computations (MVC) and finding their "stable-optimal" solutions, and it's realized as a multi-level hierarchical system of MVC series. It's possible to use this methodology for solving various real problems.
    Źródło:
    Journal of Telecommunications and Information Technology; 2004, 3; 44-56
    1509-4553
    1899-8852
    Pojawia się w:
    Journal of Telecommunications and Information Technology
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Hot channel factors evaluation for thermalhydraulic analysis of MTR reactors
    Autorzy:
    Khalil, M.
    Abdelrazek, I.
    Nagy, M.
    Shokr, A.
    Powiązania:
    https://bibliotekanauki.pl/articles/147247.pdf
    Data publikacji:
    2004
    Wydawca:
    Instytut Chemii i Techniki Jądrowej
    Tematy:
    hot channel factors
    MTR
    reactor safety
    thermalhydraulic analysis
    uncertainty
    Opis:
    This paper addresses the hot channel factors for the thermalhydraulic analysis of Material Testing Reactors (MTR). The criteria for choosing the hot channel factors and their combination methods are presented and discussed. A method for the evaluation of the hot channel factors for the thermalhydraulic analysis is proposed. In the proposed method, the values of the hot channel factor are calculated in terms of their fraction of variation and the degree of dependency of the thermalhydraulic safety parameter of interest on these factors. The equations for the calculation of the thermalhydraulic safety parameters in the hot channel are presented along with discussions. The application of the proposed method has been illustrated by an example.
    Źródło:
    Nukleonika; 2004, 49, 2; 61-67
    0029-5922
    1508-5791
    Pojawia się w:
    Nukleonika
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Experiencing a probabilistic approach to clarify and disclose uncertainties when setting occupational exposure limits
    Autorzy:
    Vernez, David
    Fraize-Frontier, Sandrine
    Vincent, Raymond
    Binet, Stéphane
    Rousselle, Christophe
    Powiązania:
    https://bibliotekanauki.pl/articles/2159984.pdf
    Data publikacji:
    2018-07-04
    Wydawca:
    Instytut Medycyny Pracy im. prof. dra Jerzego Nofera w Łodzi
    Tematy:
    risk management
    chemical toxicity
    assessment factors
    uncertainty distributions
    probabilistic methods
    occupational exposure limits
    Opis:
    Objectives Assessment factors (AFs) are commonly used for deriving reference concentrations for chemicals. These factors take into account variabilities as well as uncertainties in the dataset, such as inter-species and intra-species variabilities or exposure duration extrapolation or extrapolation from the lowest-observed-adverse-effect level (LOAEL) to the noobserved- adverse-effect level (NOAEL). In a deterministic approach, the value of an AF is the result of a debate among experts and, often a conservative value is used as a default choice. A probabilistic framework to better take into account uncertainties and/or variability when setting occupational exposure limits (OELs) is presented and discussed in this paper. Material and methods Each AF is considered as a random variable with a probabilistic distribution. A short literature was conducted before setting default distributions ranges and shapes for each AF commonly used. A random sampling, using Monte Carlo techniques, is then used for propagating the identified uncertainties and computing the final OEL distribution. Results Starting from the broad default distributions obtained, experts narrow it to its most likely range, according to the scientific knowledge available for a specific chemical. Introducing distribution rather than single deterministic values allows disclosing and clarifying variability and/or uncertainties inherent to the OEL construction process. Conclusions This probabilistic approach yields quantitative insight into both the possible range and the relative likelihood of values for model outputs. It thereby provides a better support in decision-making and improves transparency. Int J Occup Med Environ Health 2018;31(4):475–489
    Źródło:
    International Journal of Occupational Medicine and Environmental Health; 2018, 31, 4; 475-489
    1232-1087
    1896-494X
    Pojawia się w:
    International Journal of Occupational Medicine and Environmental Health
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    A new approach for modelling uncertainty in expert systems knowledge bases
    Autorzy:
    Niederliński, A.
    Powiązania:
    https://bibliotekanauki.pl/articles/229898.pdf
    Data publikacji:
    2018
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    expert systems
    uncertainty
    certainty factors
    knowledge bases
    data marks
    SWOT
    SWOT knowledge base
    Opis:
    The current paradigm of modelling uncertainty in expert systems knowledge bases using Certainty Factors (CF) has been critically evaluated. A way to circumvent the awkwardness, non-intuitiveness and constraints encountered while using CF has been proposed. It is based on introducing Data Marks for askable conditions and Data Marks for conclusions of relational models, followed by choosing the best suited way to propagate those Data Marks into Data Marks of rule conclusions. This is done in a way orthogonal to the inference using Aristotelian Logic. Using Data Marks instead of Certainty Factors removes thus the intellectual discomfort caused by rejecting the notion of truth, falsehood and the Aristotelian law of excluded middle, as is done when using the CF methodology. There is also no need for changing the inference system software (expert system shell): the Data Marks approach can be implemented by simply modifying the knowledge base that should accommodate them. The methodology of using Data Marks to model uncertainty in knowledge bases has been illustrated by an example of SWOT analysis of a small electronic company. A short summary of SWOT analysis has been presented. The basic data used for SWOT analysis of the company are discussed. The rmes_EE SWOT knowledge base consisting of a rule base and model base have been presented and explained. The results of forward chaining for this knowledge base have been presented and critically evaluated.
    Źródło:
    Archives of Control Sciences; 2018, 28, 1; 19-34
    1230-2384
    Pojawia się w:
    Archives of Control Sciences
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-5 z 5

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