• DocumentCode
    2727137
  • Title

    Modelling of inspection reliability

  • Author

    Wall, M.

  • Author_Institution
    Nat. NDT Centre, AEA Technol. plc, UK
  • fYear
    1996
  • fDate
    35390
  • Firstpage
    42552
  • Lastpage
    720
  • Abstract
    A number of computer models are available for prediction of nondestructive testing (NDT) inspection reliability in terms of probability of detection (POD) and false calls (PFI). These cover an increasing range of inspection techniques and run in real time on a standard PC. The models are being increasingly used and validated. Methods are evolving to correct model predictions for human error. The model approach provides complimentary data to experimental assessments and allows existing experimental data to be more widely used. The models can provide specific data not available from experimental measurements such as parametric studies, assessment of historical data and optimisation at the design stage. The models are already being used in economic assessments, integrity assessments, to support safety cases and validation of inspection procedures and plans. It is anticipated that he use of POD models will increase significantly in future years. There is a need for development of customised models for specific applications and industries and increased validation as use increases. Support from industry to meet these objectives is sought
  • Keywords
    inspection; NDT; computer models; defect population estimation; design stage optimisation; economic assessments; human error; human reliability modelling; inspection procedures validation; inspection reliability modelling; integrity assessments; model predictions correction; nondestructive testing; probability of detection; probability of false calls; safety cases support; signal/noise approach;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Inspection Reliability: State-of-the-Art (Digest No. 1996/178), IEE Colloquium on
  • Conference_Location
    London
  • Type

    conf

  • DOI
    10.1049/ic:19961033
  • Filename
    598222