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  • A hybrid approach for fault diagnosis of planetary bearings using an internal vibration sensor

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    105636_1.pdf (409.6Kb)
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    Accepted Manuscript (AM)
    Author(s)
    Fan, Zhiqi
    Li, Huaizhong
    Griffith University Author(s)
    Li, Huaizhong
    Year published
    2015
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    Abstract
    Planetary gearboxes exhibit unique challenges in bearing fault detection. This paper presents a hybrid approach for fault diagnosis of planetary bearings using an internal vibration sensor and novel signal processing strategies. An accelerometer is mounted internally on the planet carrier to address the issues of variable transmission path. An effective bearing faults detection algorism is developed by employing several advanced signal processing techniques, including Cepstrum whitening, minimum entropy deconvolution (MED), spectral kurtosis (SK) and envelope analysis. The adverse effect of the electromagnetic interference ...
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    Planetary gearboxes exhibit unique challenges in bearing fault detection. This paper presents a hybrid approach for fault diagnosis of planetary bearings using an internal vibration sensor and novel signal processing strategies. An accelerometer is mounted internally on the planet carrier to address the issues of variable transmission path. An effective bearing faults detection algorism is developed by employing several advanced signal processing techniques, including Cepstrum whitening, minimum entropy deconvolution (MED), spectral kurtosis (SK) and envelope analysis. The adverse effect of the electromagnetic interference in the signal due to the use of a slip ring is tackled by optimizing the SK technique for demodulation band selection. The proposed method is assessed by analyzing experimental data from a planetary gearbox test rig with seeded bearing faults. The result shows that the new method can effectively detect both inner race and outer race faults of the planetary bearing.
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    Journal Title
    Measurement
    Volume
    64
    DOI
    https://doi.org/10.1016/j.measurement.2014.12.030
    Copyright Statement
    © 2015 Elsevier, Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (http://creativecommons.org/licenses/by-nc-nd/4.0/) which permits unrestricted, non-commercial use, distribution and reproduction in any medium, providing that the work is properly cited.
    Subject
    Applied mathematics
    Mechanical engineering
    Mechanical engineering not elsewhere classified
    Publication URI
    http://hdl.handle.net/10072/125192
    Collection
    • Journal articles

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