It has been the goal of railroad track inspectors and researchers alike to constantly strive to improve the methods being used for rail inspection. This paper proposes a method to analyze long-range rail test data with the continuous wavelet transform in order to extract reflection coefficients which may then be used to classify defects. The feasibility of using three different dynamic rail tests for defect classification of four sizes of transverse head defects was investigated. Optimum frequencies to be used for maximum sensitivity to the defects were identified.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Health monitoring of railroad tracks by wavelet analysis


    Beteiligte:

    Kongress:

    Smart Structures and Materials 2003: Smart Systems and Nondestructive Evaluation for Civil Infrastructures ; 2003 ; San Diego,California,United States


    Erschienen in:

    Erscheinungsdatum :

    18.08.2003





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Advances in health monitoring of railroad tracks

    McNamara, John D. / Lanza di Scalea, Francesco | SPIE | 2002


    Ultrasonic Guided Wave Monitoring of Railroad Tracks

    Nucera, Claudio ;Phillips, Robert ;Lanza di Scalea, Francesco | Trans Tech Publications | 2012


    Design of railroad tracks

    Peter, G. / Peter, H. | Engineering Index Backfile | 1950


    Design of railroad tracks

    Peter, H. | Engineering Index Backfile | 1949