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    The Development of Lumped Mass Dynamic Modeling Methods of Planetary Gearbox for Fault Detection and Diagnosis

    Access Status
    Fulltext not available
    Authors
    Wang, Zhongwei
    Howard, Ian
    Date
    2010
    Type
    Conference Paper
    
    Metadata
    Show full item record
    Citation
    Wang, Z. W. and Howard, I. 2010. The Development of Lumped Mass Dynamic Modeling Methods of Planetary Gearbox for Fault Detection and Diagnosis, in Teh, K.and Davies, I. and Howard, I. (ed), 6th Australasian Congress on Applied Mechanics (ACAM6), Dec 12-15 2010. Perth, WA: Engineers Australia.
    Source Title
    Proceedings of the 6th Australasian Congress on Applied Mechanics (ACAM6)
    Source Conference
    6th Australasian Congress on Applied Mechanics (ACAM6)
    Additional URLs
    http://search.informit.com.au/documentSummary;dn=020174803296517;res=IELENG
    ISBN
    978-0-85825-941-6
    School
    Department of Mechanical Engineering
    URI
    http://hdl.handle.net/20.500.11937/20890
    Collection
    • Curtin Research Publications
    Abstract

    This paper presents a 9+3*n+1 degree of freedom planetary gearbox lumped-parameter dynamic model including coupled torsional-transverse behaviour of all components. The model includes one sun gear, one ring gear, one carrier arm, n planet gears and one fluid coupling. It also includes the effects of variable tooth mesh stiffness, pitch and profile excitation, variable operating conditions and gear tooth faults (cracking and spalling) for gear fault detection purposes. The equations of motion are included along with a description of the model. Modeling of pitch and profile excitation and localised tooth faults is detailed. The comparison between models with and without localised teeth faults was obtained by using a MATLAB program which was developed to generate equations of motion automatically and to simulate the resulting vibration behaviour. Dynamic vibration results were processed using signal averaging techniques, frequency analysis and some rudimentary diagnostic methods.

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