Wear metal analysis of lubricants has played an increasingly significant diagnostic role for condition monitoring of turbine engines in the Air Force since the Spectrometric Oil Analysis Program (SOAP) was adopted in the mid-1960's. Since introduction, SOAP has rapidly expanded with all services participating in a coordinated effort. SOAP has found general applicability in engine diagnosis, but not for all equipment, e.g., gearboxes and transmissions. Such mechanical systems can generate large wear debris that is not readily detectable using routine spectrometric techniques. This limitation has encouraged the continued use of chip detector and filter inspections, and the development of other monitoring techniques such as ferrography, to build a more complete assessment of mechanical condition for many applications. SOAP limitations as well as incentives to provide more timely data and improve cost effectiveness has generated support in various organizations to pursue development of improved laboratory, portable, in-line and on-line diagnostic systems. The current status and potential of these rapidly developing alternative technologies for future applications are reviewed and assessed.


    Access

    Access via TIB

    Check availability in my library


    Export, share and cite



    Title :

    Future trends in turbine engine wear metal diagnostics


    Additional title:

    Zukünftige Trends bei der Turbinenmotor-Verschleißmetalldiagnostik


    Contributors:


    Publication date :

    1989


    Size :

    7 Seiten, 9 Quellen


    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




    Turbine Engine Diagnostics (TED) system

    DE HOFF, RONALD / MALTBAEK, CHRISTINA | AIAA | 1993


    Gas Turbine Engine and Sensor Diagnostics

    Zedda, M. / Singh, R. / International Society for Air Breathing Engines | British Library Conference Proceedings | 1999



    TEMPERATURE DIAGNOSTICS OF GAS TURBINE ENGINE BEARINGS

    R. V. Birukov / Y. V. Kiselev | DOAJ | 2016

    Free access

    Prognostics/diagnostics for gas turbine engine bearings

    Orsagh, R.F. / Sheldon, J. / Klenke, C.J. | IEEE | 2003