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Characterization of vibration transmission paths for gearbox condition monitoring

Al-Arbi, Salem, Talbot, Chris J., Wang, Tie, Fengshou, Gu and Ball, Andrew (2010) Characterization of vibration transmission paths for gearbox condition monitoring. In: Inter noise 2010 39th International congress on Noise Control Engineering, 13-16 June 2010, Lisbon, Portugal.

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    Abstract

    For gearbox condition monitoring, the position of the accelerometers can be crucial for the detection of possible defects. However, little information can be found in the literature for engineers in setting up condition monitoring. This study is to investigate the characteristics of gear vibration and its transmission path for sensor placement and reliable fault diagnosis. Vibration sources produced by gear meshing are transferred to the accelerometer through a path of shafts, bearings, and gearbox housing. Each transfer path has its own transfer function which is almost impossible to predict accurately that changes the vibrations in both magnitude and phase, varying significantly with the operating conditions. This study begins with the estimation of the path by the Frequency Response Function (FRF) technique and then it develops a response based estimation method to revise the base path adaptive to operating conditions for more accurate fault estimation. Both theoretical analysis and test result show that a better diagnosis when the path information is included in vibration signal processing and feature selection.

    Item Type: Conference or Workshop Item (Paper)
    Subjects: T Technology > TJ Mechanical engineering and machinery
    Schools: School of Computing and Engineering
    School of Computing and Engineering > Diagnostic Engineering Research Centre
    School of Computing and Engineering > Automotive Engineering Research Group
    School of Computing and Engineering > Diagnostic Engineering Research Centre > Energy, Emissions and the Environment Research Group
    School of Computing and Engineering > Diagnostic Engineering Research Centre > Machinery Condition and Performance Monitoring Research Group
    School of Computing and Engineering > Diagnostic Engineering Research Centre > Measurement System and Signal Processing Research Group
    Related URLs:
    Depositing User: Salem Al-Arbi
    Date Deposited: 03 Aug 2010 14:03
    Last Modified: 03 Dec 2010 10:17
    URI: http://eprints.hud.ac.uk/id/eprint/8190

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