Vibrations Based Lubricity Condition Monitoring of Journal Bearings

Jiao Jiao Ma, Yuandong Xu, Fulong Liu, Zhanqun Shi, Hao Zhang, Fengshou Gu, Andrew D. Ball

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Journal bearings as the important components are widely used in the rotating machinery. Early fault detection and diagnosis of journal bearings have received great more attention to ensure the high efficiency and safety operations. To overcome the shortages of low sensitivity from physical and chemical properties based monitoring, vibro-acoustics monitoring is focused on this study in that it can give real-time indication of tribodynamics of the bearing. In this paper, experimental investigations were carried out to monitor the lubrication regimes of journal bearings under varying loads ranged from 0 bar to 20 bar. Depending on the vibration analysis in the time domain (RMS) and short-time Fourier transform (STFT), the main effect of loads on the lubrication regimes can be found in the low frequency response (100 Hz–1000 Hz). Based on Stribeck curves, experimental results also allows for identifying the critical load under which the lubrication regime changes from full-film to mixed lubrication and even boundary lubrication, therefore, providing critical diagnostic features for online monitoring the lubricity of journal bearings.

Original languageEnglish
Title of host publicationAdvances in Asset Management and Condition Monitoring, COMADEM 2019
EditorsAndrew Ball, Len Gelman, B.K.N. Rao
PublisherSpringer, Cham
Pages883-892
Number of pages10
Volume166
ISBN (Electronic)9783030577452
ISBN (Print)9783030577445
DOIs
Publication statusPublished - 28 Aug 2020
Event32nd International Congress and Exhibition on Conditioning Monitoring and Diagnostic Engineering Management Conference - University of Huddersfield, Huddersfield, United Kingdom
Duration: 3 Sep 20195 Sep 2019
Conference number: 32
http://www.comadem2019.com/ (Link to Conference Website)

Publication series

NameSmart Innovation, Systems and Technologies
PublisherSpringer
Volume166
ISSN (Print)2190-3018
ISSN (Electronic)2190-3026

Conference

Conference32nd International Congress and Exhibition on Conditioning Monitoring and Diagnostic Engineering Management Conference
Abbreviated titleCOMADEM 2019
CountryUnited Kingdom
CityHuddersfield
Period3/09/195/09/19
Internet address

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