Access the full text.
Sign up today, get DeepDyve free for 14 days.
N. Tandon, A. Choudhury (1997)
An analytical model for the prediction of the vibration response of rolling element bearings due to a localized defectJournal of Sound and Vibration, 205
M. Patil, J. Mathew, P. Rajendrakumar (2008)
Bearing Signature Analysis as a Medium for Fault Detection: A ReviewJournal of Tribology-transactions of The Asme, 130
H. Martin, F. Honarvar (1995)
Application of statistical moments to bearing failure detectionApplied Acoustics, 44
A. Mohammadi, M. Safizadeh (2013)
Bearing Multiple Defects Detection Based on Envelope Detector Time ConstantJournal of Tribology-transactions of The Asme, 135
Yuh-Tay Sheen (2009)
On the study of applying Morlet wavelet to the Hilbert transform for the envelope detection of bearing vibrationsMechanical Systems and Signal Processing, 23
Q. Tan (2011)
Dimensional Analysis: With Case Studies in Mechanics
Li Zhen, Zhengjia He, Zi Yan-yang, Yanxue Wang (2008)
Customized wavelet denoising using intra- and inter-scale dependency for bearing fault detectionJournal of Sound and Vibration, 313
T. Harris, W. Anderson (1967)
Rolling Bearing AnalysisJournal of Lubrication Technology, 89
Elsevier, Journal of Applied Acoustics, 44
Elsevier J. of Mechanical Systems and Signal Processing, 43
ASME J. of Engineering for Gas Turbines and Power, 134
ASME J. of Tribology, 135
ASME Journal of Tribology, 133
V. Patel, N. Tandon, R. Pandey (2010)
A Dynamic Model for Vibration Studies of Deep Groove Ball Bearings Considering Single and Multiple Defects in RacesJournal of Tribology-transactions of The Asme, 132
Wensheng Su, Fengtao Wang, Hong Zhu, Zhixin Zhang, Zhenggang Guo (2010)
Rolling element bearing faults diagnosis based on optimal Morlet wavelet filter and autocorrelation enhancementMechanical Systems and Signal Processing, 24
H. Arslan, N. Aktürk (2008)
An Investigation of Rolling Element Vibrations Caused by Local DefectsJournal of Tribology-transactions of The Asme, 130
Michael Milo, Bradley Harris, Benjamin Bjerke, M. Roan (2014)
Anomaly detection in rolling element bearings via hierarchical transition matricesMechanical Systems and Signal Processing, 48
M. Cao, J. Xiao (2008)
A comprehensive dynamic model of double-row spherical roller bearing—Model development and case studies on surface defects, preloads, and radial clearanceMechanical Systems and Signal Processing, 22
F. Choy, Jianyou Zhou, M. Braun, L. Wang (2005)
Vibration Monitoring and Damage Quantification of Faulty Ball BearingsJournal of Tribology-transactions of The Asme, 127
S. Ghafari, Farid Golnaraghi, Fathy Ismail (2008)
Effect of localized faults on chaotic vibration of rolling element bearingsNonlinear Dynamics, 53
Mohsen Nakhaeinejad, M. Bryant (2011)
Dynamic Modeling of Rolling Element Bearings With Surface Contact Defects Using Bond GraphsJournal of Tribology-transactions of The Asme, 133
A. Choudhury, N. Tandon (2006)
Vibration Response of Rolling Element Bearings in a Rotor Bearing System to a Local Defect Under Radial LoadJournal of Tribology-transactions of The Asme, 128
Dick Petersen, Carl Howard, N. Sawalhi, Alireza Ahmadi, Sarabjeet Singh (2015)
Analysis of bearing stiffness variations, contact forces and vibrations in radially loaded double row rolling element bearings with raceway defectsMechanical Systems and Signal Processing, 50
X. Chiementin, F. Bolaers, J. Dron (2007)
Early Detection of Fatigue Damage on Rolling Element Bearings Using Adapted WaveletJournal of Vibration and Acoustics, 129
P. Kankar, Satish Sharma, S. Harsha (2012)
Nonlinear Vibration Signature Analysis of a High Speed Rotor Bearing System Due to Race ImperfectionJournal of Computational and Nonlinear Dynamics, 7
A. Rafsanjani, S. Abbasion, A. Farshidianfar, H. Moeenfard (2009)
Nonlinear dynamic modeling of surface defects in rolling element bearing systemsJournal of Sound and Vibration, 319
Ling Xiang, Aijun Hu (2012)
New Feature Extraction Method for the Detection of Defects in Rolling Element BearingsJournal of Engineering for Gas Turbines and Power-transactions of The Asme, 134
Yuna Pan, Jin Chen, Xinglin Li (2010)
Bearing performance degradation assessment based on lifting wavelet packet decomposition and fuzzy c-meansMechanical Systems and Signal Processing, 24
Eurogrease, 1
Elsevier Journal Sound and Vibration, 313
R. Desavale, R. Venkatachalam, S. Chavan (2014)
Experimental and Numerical Studies on Spherical Roller Bearings Using Multivariable Regression AnalysisJournal of Vibration and Acoustics, 136
M. Patil, J. Mathew, P. Rajendrakumar, Sumit Karade (2010)
Experimental Studies Using Response Surface Methodology for Condition Monitoring of Ball BearingsJournal of Tribology-transactions of The Asme, 132
Jing Lin, M. Zuo, K. Fyfe (2004)
Mechanical Fault Detection Based on the Wavelet De-Noising TechniqueJournal of Vibration and Acoustics, 126
T. Szirtes, P. Rózsa (2007)
Chapter 8 – Systematic determination of complete set of products of variables
P. Borghesani, P. Pennacchi, S. Chatterton (2014)
The relationship between kurtosis- and envelope-based indexes for the diagnostic of rolling element bearingsScience & Engineering Faculty
R. Serrato, M. Maru, L. Padovese (2007)
Effect of lubricant viscosity grade on mechanical vibration of roller bearingsTribology International, 40
V. Sugumaran, K. Ramachandran (2011)
Fault diagnosis of roller bearing using fuzzy classifier and histogram features with focus on automatic rule learningExpert Syst. Appl., 38
PurposeThe main objective of the paper is to explore the theoretical correlation of base oil viscosity in grease and to study the effect of grease grade on mechanical vibrations associated with the damaged rolling bearings.Design/methodology/approachFor theoretical purposes, formulation theory of dimensional analysis was implemented. Experiments were then performed on the test bearings lubricated with three different types of greases, namely, SKF LGHP2, SKF LGMT3 and SKF LGWA2.FindingsThe numerical results obtained from the theoretical model along with the results of experiments show that the vibration amplitudes of the defective bearings come down to a lower level when it is lubricated with the grease of a higher base oil viscosity.Research limitations/implicationsThe promising results from the theoretical model make it usable for the practical rotating machineries applying a variety of the rolling bearings. Consequently, if the bearing is not severely damaged, its performance can be increased by lubricating it with thicker grease.Originality/valueDespite many significant contributions in the field to detect the presence of defects, not many studies have been performed that relate the lubrication condition of the rolling bearings with the vibration response, because around 50-75% of the bearing failures are attributed to be lubrication related. Hence, there is need to develop a mathematical model that can correlate the vibration severity of the bearings with viscosity of the lubricant oil in the greases along with other design and operating parameters.
Industrial Lubrication and Tribology – Emerald Publishing
Published: Mar 12, 2018
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.