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Journal bearing condition monitoring based on the modulation signal bispectrum analysis of vibrations

Hassin, Osama, Yao, Aiying, Gu, Fengshou and Ball, Andrew (2016) Journal bearing condition monitoring based on the modulation signal bispectrum analysis of vibrations. In: Proceedings of the International Conference on Power Transmissions 2016 (ICPT 2016). Taylor & Francis, pp. 907-912. ISBN 9781138032675

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Abstract

Journal bearings usually wok under a wide range of operating conditions. However, adverse operating such as transient operations and oil degradation can lead to early defects to the bearings. In this paper, modulation signal bispectrum (MSB) is used to analyse vibration responses from a journal bearing lubricated with three different oils to differentiate abnormal lubrication conditions. MSB magnitude results represent the nonlinear vibration responses, which are due to instable hydrodynamics, asperity excitations and nonlinear transfer paths, with two distinctive bifrequency patterns corresponding to instable lubrication and asperity interactions respectively. Using entropy measures, these instable lubrications are classified to be the low loads cases. Furthermore, average MSB magnitudes are used to differentiate the asperity interactions between asperity collisions and the asperity churns. A higher magnitude in the lower frequency band can indicate the excessive asperity contacts due to lowering viscosities. Meanwhile a higher magnitude in the higher frequency band indicates the extreme fluid frictions.

Item Type: Book Chapter
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
Schools: School of Computing and Engineering
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Depositing User: Sharon Beastall
Date Deposited: 07 Dec 2016 10:14
Last Modified: 07 Dec 2016 14:53
URI: http://eprints.hud.ac.uk/id/eprint/30675

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