Stress Wave Analysis (SWAN) provides real-time measurement of friction and mechanical shock in operating machinery. This high frequency acoustic sensing technology filters out background levels of vibration and audible noise, and provides a graphic representation of machine health. By measuring shock and friction events, the SWAN technique is able to detect wear and damage at the earliest stages and is able to track the progression of a defect throughout the failure process. This is possible because as the damage progresses, the energy content of friction and shock events increases. This 'stress wave energy' is then measured and tracked against normal machine operating conditions. This paper describes testing that was conducted on several types of aircraft and industrial gas turbine engines to demonstrate SWAN's ability to accurately detect a broad range of discrepant conditions and characterize the severity of damage.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Stress wave analysis of turbine engine faults


    Beteiligte:
    Board, C.B. (Autor:in)


    Erscheinungsdatum :

    01.01.2000


    Format / Umfang :

    1444396 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Stress Wave Analysis of Turbine Engine Faults

    Board, D. B. / Institute of Electrical and Electronics Engineers | British Library Conference Proceedings | 2000



    Locomotive Diesel Engine Stress Wave Analysis

    Chater, A. / Institution of Engineering and Technology | British Library Conference Proceedings | 2006


    Diagnosis of engine faults

    Rizzoni,G. / Univ.of Michigan,Ann Arbor,US | Kraftfahrwesen | 1988


    WAVELET-BASED ALGORITHM FOR DETECTION OF BEARING FAULTS IN A GAS TURBINE ENGINE

    Sergiy Enchev / Sergiy Tovkach | DOAJ | 2014

    Freier Zugriff