In this paper, an intelligent scheme for detecting incipient defects in spur gears is presented. In fact, the study has been undertaken to determine these defects in a single propeller system of a small-sized unmanned helicopter. It is important to remark that although the study focused on this particular system, the obtained results could be extended to other systems known as AUVs (Autonomous Unmanned Vehicles), where the usage of polymer gears in the vehicle transmission is frequent. Few studies have been carried out on these kinds of gears. In this paper, an experimental platform has been adapted for the study and several samples have been prepared. Moreover, several vibration signals have been measured and their time-frequency characteristics have been taken as inputs to the diagnostic system. In fact, a diagnostic system based on an artificial intelligence strategy has been devised. ; This work has been supported by the Spanish Government Projects DPI2015-69325-C2-1-R, DPI2015-69325-C2-2-R of Ministerio de Economía y Competitividad, Project 2015/0001018 ULL and 2016-MEC-25-ETSII-UNED.


    Zugriff

    Download


    Exportieren, teilen und zitieren



    Titel :

    An Artificial Intelligence Approach for Gears Diagnostics in AUVs



    Erscheinungsdatum :

    2016-04-01


    Anmerkungen:

    AR/0000018684



    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Klassifikation :

    DDC:    629




    AUVS '95

    Online Contents | 1995


    Artificial Intelligence applied to Diagnostics

    Hartwell, Robert E. | SAE Technical Papers | 1985


    Artificial Intelligence applied to Diagnostics

    Hartwell,R.E. / RCA Autom.Syst.,Burlington,US | Kraftfahrwesen | 1985


    AUVS '95: Proceedings manual

    Association of Unmanned Vehicle Systems International | British Library Conference Proceedings | 1995


    Stirling power for AUVs

    Reader, G.T. / Walker, G. / Fauvel, O.R. | Tema Archiv | 1989