Frequencies of leaks increase with aging pipelines and environment factors. Consequences of leaks can be severe because population densities near pipeline routes have increased and also because of environmental concerns. Thus, the uncertainty concerning when and where leaks would occur becomes a major consideration in identifying the leak-prone segments. This paper presents a statistical method based on the Bayes? theorem, to assess the probability of leaks for different portions of a pipeline system as a function of significant characteristics. The illustrated case study, in which this method was applied successfully, describes a Bayesian diagnostic model and its application to a cast iron gas pipeline system.


    Zugriff

    Zugriff über TIB

    Verfügbarkeit in meiner Bibliothek prüfen


    Exportieren, teilen und zitieren



    Titel :

    A Bayesian diagnostic model for pipeline leak prediction


    Weitere Titelangaben:

    Diagnosemodell auf Basis der Bayes Regel fuer die Vorhersage von Leckagen in Rohrleitungen


    Beteiligte:
    Chuang, J.C. (Autor:in) / Kulkarni, R.B. (Autor:in) / Shah, D. (Autor:in)


    Erscheinungsdatum :

    1987


    Format / Umfang :

    8 Seiten, 3 Bilder, 4 Tabellen


    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch




    Model based pipeline monitoring with leak detection

    Hauge, Espen / Aamo, Ole Morten / Godhavn, John-Morten | Tema Archiv | 2009




    Post-earthquake pipeline leak detection technologies

    Du, Winncy Y. / Yelich, Scott W. | Tema Archiv | 2008


    Canadian pipeline installs leak-detection system

    Yoon, M.S. / Mensik, M. / Luk, W.Y. | Tema Archiv | 1988