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

Osama Hassin, Aiying Yao, Fengshou Gu, Andrew Ball

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.
Original languageEnglish
Title of host publicationPower Engineering
Subtitle of host publicationProceedings of the International Conference on Power Transmissions 2016 (ICPT 2016), Chongqing, P.R. China, 27–30 October 2016
EditorsDatong Qin, Yimin Shao
PublisherTaylor & Francis
Pages907-912
Number of pages6
ISBN (Electronic)9781315386812
ISBN (Print)9781138032675
Publication statusPublished - Nov 2016
EventInternational Conference on Power Transmissions 2016 - Chongqing, China
Duration: 27 Oct 201630 Oct 2016

Conference

ConferenceInternational Conference on Power Transmissions 2016
Abbreviated titleICPT 2016
CountryChina
CityChongqing
Period27/10/1630/10/16

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Hassin, O., Yao, A., Gu, F., & Ball, A. (2016). Journal bearing condition monitoring based on the modulation signal bispectrum analysis of vibrations. In D. Qin, & Y. Shao (Eds.), Power Engineering: Proceedings of the International Conference on Power Transmissions 2016 (ICPT 2016), Chongqing, P.R. China, 27–30 October 2016 (pp. 907-912). Taylor & Francis.