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Saturday, July 25, 2020 | History

3 edition of Extending the dynamic flowgraph methodology (DFM) to model human performance and team effects found in the catalog.

Extending the dynamic flowgraph methodology (DFM) to model human performance and team effects

Extending the dynamic flowgraph methodology (DFM) to model human performance and team effects

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  • 35 Currently reading

Published by Division of Systems Analysis and Regulatory Effectiveness, Office of Nuclear Regulatory Research, U.S. Nuclear Regulatory Commission in Washington, DC .
Written in English

    Subjects:
  • Nuclear power plants -- Control rooms -- Human factors.,
  • Nuclear power plants -- Safety measures.

  • Edition Notes

    Statementprepared by A. Milici, R. Mulvihill, S. Guarro.
    ContributionsMulvihill, R., Guarro, S., U.S. Nuclear Regulatory Commission. Division of Systems Analysis and Regulatory Effectiveness., ASCA, Inc.
    The Physical Object
    FormatMicroform
    Pagination1 v. (various pagings)
    ID Numbers
    Open LibraryOL16011921M

    Extending standard tables without customization footprint. Early Access books and videos are released chapter-by-chapter so you get new content as it’s created. Creating data-event handler methods. The data-event handlers handle the delegates exposed on every table. Dynamic Flowgraph Methodology (DFM) and Markov/Cell-to-Cell Mapping Technique (CCMT) are discussed and case studies developed are presented. These case studies involve simplified control systems for a steam generator and a pressurizer of a Pressurized Water Reactor (PWR) plant for the purpose of evaluating each method.

      This book offers a practical, application-based approach to flowgraph models for time-to-event data. It clearly shows how this innovative new methodology can be used to analyze data from semi-Markov processes without prior knowledge of stochastic processes––opening the door to interesting applications in survival analysis and reliability as. The application practices of AFAL methodology show, extending instrument calibration interval can support nuclear power plant to achieve the goal of prolonging the fuel cycle, under the nuclear safety precondition. The nuclear power plant can improve the capacity factor of .

    Get this from a library! Dynamic flowgraph methodology for the analysis of software based controlled systems. [Kar-Fai Michael Yau]. High dynamic range images can be generated by several imaging system architectures. This chapter focuses on sensor design and does not cover scenedependent optical veiling glare or other optical aspects. The methods in this chapter use a special pixel design or a special pixel control, said to belong to the “hardware methods” category.


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Extending the dynamic flowgraph methodology (DFM) to model human performance and team effects Download PDF EPUB FB2

The current version of DFM is an extension of its predecessor, the Logic Flowgraph Methodology (LFM) (Guarro and Okrent, ), which models systems in steady-state. DFM, however, is dynamic in nature, and can thus capture the. This report also describes guidelines for the screening of sequences for which a dynamic flowgraph methodology (DFM) analysis could be effectively applied.

The screening, DFM modeling and DFM analysis processes are demonstrated, via case studies, within the general human reliability analysis approach provided by the ATHEANA framework. Home; Award Details; Extending the Dynamic Flowgraph Methodology (DFM) to Model Human Performance and Team Effects.

Abstract: The dynamic flowgraph methodology (DFM) is an integrated methodological approach to modeling and analyzing the behavior of software-driven embedded systems for the purpose of reliability/safety assessment and verification.

The methodology has two fundamental goals: (1) to identify how certain postulated events may occur in a system; and (2) to identify an appropriate testing Cited by: PDF | The dynamic flowgraph methodology (DFM) is an integrated methodological approach to modeling and analyzing the behavior of software-driven |.

methods based on fault identification and removal p rocess The modeling and quantification process discussed a bove and in the preceding charts is illustrated in the project appl ication that follows, which utilizes a combination of “classical” PRA mode Extending the dynamic flowgraph methodology book and multi-valued logic Dynamic Flowgraph models (a simpler applicatio n example solely.

In this paper, we present the Dynamic Flowgraph Methodology (DFM) as an approach to model the operating team. DFM provides a tool with which the performance of individuals in the team and the system hardware can be modeled in an integrated fashion using a clear graphic representation of the causal relationships between physical variables and.

Dynamic reliability analysis methods are needed because traditional methods, such as fault tree analysis, can describe system's dynamical behaviour only in limited manner. Dynamic flowgraph methodology (DFM) is an approach used for analysing systems. In this thesis, it is demonstrated that the Dynamic Flowgraph Methodology (DFM) can be extended to model networked control systems.

The modelling of the communication network influence on the performance of the control system is presented. Dynamic Accident Sequence Analysis using Dynamic Flowgraph Method and Markov/Cell-to-cell Mapping Technique An oral defense of this thesis took place on J in front of the following examining committee: Examining Committee: Chair of Examining Committee Prof.

Eleodor Nichita Research Supervisor Prof. Akira Tokuhiro. The item Extending the dynamic flowgraph methodology (DFM) to model human performance and team effects, prepared by A. Milici, R. Mulvihill, S. Guarro represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in Indiana State Library.

This item is available to borrow from 1 library branch. A. Milixi, R.J. Mulvihill, S. Guarro, J.J. Persensky, Extending the Dynamic Flowgraph Methodology (DFM) to Model Human Performance and Team Effects, US NRC () Google Scholar M. Yau, S. Guarro, G. Apostolakis, Demonstration of the dynamic flowgraph methodology using the Titan II space launch vehicle digital flight control system.

Dynamic flowgraph methodology (DFM) is method for the reliability analysis of dynamic systems with time-dependencies and feedback loops.

As in fault tree analysis, the aim of DFM is to identify which conditions can cause a top event, which can be, for example, the system's failure. DFM has been most often applied to different digital control systems. from book Reliability and Safety Engineering: Second Edition (pp) Extending the dynamic flowgraph methodology (DFM) to model human performance and team effects.

S Guarro. Fault Tree Analysis (FTA) is a well-known method of reliability analysis, while the Dynamic Flowgraph Methodology (DFM), is a modern analysis method that includes time-dependent dynamic properties and was created to model and analyze digital control systems.

The Methodology of Flowgraph Models Yu Ren methodology of flowgraph models to the study of Markov and Semi- For parameter estimation, we extend the Expectation-Maximization (EM) algorithm to estimate parameters in the mixture of negative weight exponential density.

Our. Extending the dynamic flowgraph methodology (DFM) to model human performance and team effects Author: A Milici ; R Mulvihill ; S Guarro ; U.S. Nuclear Regulatory Commission. The dynamic flowgraph methodology is a promising way to find the prime implicants of a top event for a dynamic system possibly containing digital subsystems.

This article demonstrates how to express dynamic flowgraph methodology models as logic programs, and top events as queries to those programs, in a natural and comprehensible way.

"Advanced PRA Tool Benchmark for Space System Risk Using the Dynamic Flowgraph Methodology (PSAM)." Proceedings of the Eighth International Conference on Probabilistic Safety Assessment & Management (PSAM).

Michael G. Stamatelatos, and Harold S. Blackman. ASME Press, As for nuclear power plant, this paper proposes to extend its current iconic system to simpler and better model the dynamic process.

Based on current ESD icons, we have created many other icons to represent the dynamic situations of the system and the component according to the characteristics of nuclear power plant. Dynamic Flowgraph Methodology (DFM) Modeling of Nuclear and Advanced Technology System Risk and Reliability Scenarios (Sergio Guarro and Michael Yau) Dynamic Behavior of Nuclear Power Plant State Under Severe Accident Conditions: Analysis by the GO-FLOW Methodology and the Consideration of Loop Structures (Takeshi Matsuoka).The objective of this paper is to demonstrate the use of the Dynamic Flowgraph Methodology (DFM) during the design and verification of programmable electronic safety-related systems.

The safety system consists of hardware as well as software.This “cookbook” provides the ingredients and methods needed to maximize the efficiency of your business management using the latest in ERP software—Dynamics for Operations.

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