• Title of article

    Control of chemical processes using neural net375\375.pdfworks: implementation in a plant for xylose production

  • Author/Authors

    Alvarez، Estrella نويسنده , , Riverol، Carmen نويسنده , , Navaza، J.M نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 1999
  • Pages
    -374
  • From page
    375
  • To page
    0
  • Abstract
    The ANSI/ISA S84.01-1996 and IEC 61508 (draft) standards provide guidelines for the design, installation, operation, maintenance and testing of safety instrumented systems (SIS). As part of the SIS lifecycle design process, the SIS should be evaluated not only for its safety integrity level (SIL), but also for its potential for common cause failure (CCF). A CCF occurs when a single fault results in the corresponding failure of multiple components, such as a miscalibration error on a bank of redundant transmitters. The frequency of common cause faults is difficult to estimate. The modeling techniques and available failure rate data make the predictive calculations of these failures cumbersome and the results obtained questionable. Therefore, a more meaningful way for most SIS designers is to eliminate the potential source of CCF in the SIS design, installation, operation, and maintenance. This paper will focus on how to identify potential common cause events through the application of industry standards, internal design standards or through the use of qualitative assessment techniques. The identification of these events is extremely important, because it is only after identification that strategies can be developed for eliminating or reducing their likelihood. Fortunately, many of these strategies are as simple as applying a little common sense with some good engineering practice to the SIS design. © 1999 Elsevier Science Ltd. All rights reserved.
  • Keywords
    neural network , Pulp and paper , Intelligent control , Production of xylose
  • Journal title
    ISA TRANSACTIONS
  • Serial Year
    1999
  • Journal title
    ISA TRANSACTIONS
  • Record number

    9818