Experimental Investigation of Vibration Signals from an On-Rotor Sensing for Diesel Engine Crankshaft Lubrication Monitoring

Solomon Okhionkpamwonyi, Funso Otuyemi, Dawei Shi, Fengshou Gu, Andrew Ball

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

Abstract

Engine vibrations associated with crankshaft bearing lubricity and asperity friction tends to be characterized by weak signatures, modulated in high frequency resonance and signals are often contaminated by other complex engine excitations, structural vibrations and background noise. The effects lead to a challenging diagnostics and detection procedure due to weak features even amidst interferences. To resolve the problem of poor signal resolution and complex modulation, an on-rotor sensing (ORS) method composed of a tri-axial MEMS accelerometer was implemented to fully capture the rotational dynamics of the engine crankshaft. In this work, the crankshaft lubrication performance is experimentally studied using ORS MEMS accelerometer installed directly to the end of the rotating crankshaft. Vibrational signals acquired from engine are analysed to study the effect of lubricant rheological properties and temperature on engine crankshaft vibrations. It has found that kurtosis variations with oil temperature show good agreement with classic stribeck characteristics, allowing the identification of different lubrication regimes. In the meantime, engine body vibrations acquired by conventional accelerometer show little correlations with lubrication changes. These findings confirm ORS signal possess rich information to indicate engine crankshaft lubricity.

Original languageEnglish
Title of host publicationProceedings of TEPEN 2022
Subtitle of host publicationEfficiency and Performance Engineering Network
EditorsHao Zhang, Yongjian Ji, Tongtong Liu, Xiuquan Sun, Andrew David Ball
PublisherSpringer, Cham
Pages138-150
Number of pages13
Volume129
ISBN (Electronic)9783031261930
ISBN (Print)9783031261923, 9783031261954
DOIs
Publication statusPublished - 4 Mar 2023
EventInternational Conference of The Efficiency and Performance Engineering Network 2022 - Baotou, China
Duration: 18 Aug 202221 Aug 2022
https://tepen.net/
https://tepen.net/conference/tepen2022/

Publication series

NameMechanisms and Machine Science
PublisherSpringer
Volume129 MMS
ISSN (Print)2211-0984
ISSN (Electronic)2211-0992

Conference

ConferenceInternational Conference of The Efficiency and Performance Engineering Network 2022
Abbreviated titleTEPEN 2022
Country/TerritoryChina
CityBaotou
Period18/08/2221/08/22
Internet address

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