Vibration based condition assessment of ball bearing with distributed defects

The analysis of vibration signals is major technique for condition monitoring of bearing in machine components. Vibration based signal analysis is used for the detection of bearing fault. The present work emphasizes the comparison of some vibration parameters to characterize the distributed defects...

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Main Authors: Sham Kulkarni, Anand Bewoor
Format: Article
Language:English
Published: JVE International 2016-06-01
Series:Journal of Measurements in Engineering
Subjects:
Online Access:https://www.jvejournals.com/article/17164
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spelling doaj-3b2d9559b8874a20ae0ce38e6780211e2020-11-25T00:44:46ZengJVE InternationalJournal of Measurements in Engineering2335-21242424-46352016-06-0142879417164Vibration based condition assessment of ball bearing with distributed defectsSham Kulkarni0Anand Bewoor1Sinhgad College of Engineering, Vadgaon, Pune, Maharashtra, IndiaCummins College of Engineering for Women, Pune, Maharashtra, IndiaThe analysis of vibration signals is major technique for condition monitoring of bearing in machine components. Vibration based signal analysis is used for the detection of bearing fault. The present work emphasizes the comparison of some vibration parameters to characterize the distributed defects in the bearing, RMS, Peak and peak to peak which are used in the detection defects in the bearing. These parameters are measured at various load and speeds with simulated defect on bearing parts. This paper also shows the sensitivity of kurtosis in condition monitoring of ball bearing. It has been shown that vibration based monitoring is an effective method for detecting the faults in the bearing.https://www.jvejournals.com/article/17164condition monitoringvibration analysisball bearingdefect frequency
collection DOAJ
language English
format Article
sources DOAJ
author Sham Kulkarni
Anand Bewoor
spellingShingle Sham Kulkarni
Anand Bewoor
Vibration based condition assessment of ball bearing with distributed defects
Journal of Measurements in Engineering
condition monitoring
vibration analysis
ball bearing
defect frequency
author_facet Sham Kulkarni
Anand Bewoor
author_sort Sham Kulkarni
title Vibration based condition assessment of ball bearing with distributed defects
title_short Vibration based condition assessment of ball bearing with distributed defects
title_full Vibration based condition assessment of ball bearing with distributed defects
title_fullStr Vibration based condition assessment of ball bearing with distributed defects
title_full_unstemmed Vibration based condition assessment of ball bearing with distributed defects
title_sort vibration based condition assessment of ball bearing with distributed defects
publisher JVE International
series Journal of Measurements in Engineering
issn 2335-2124
2424-4635
publishDate 2016-06-01
description The analysis of vibration signals is major technique for condition monitoring of bearing in machine components. Vibration based signal analysis is used for the detection of bearing fault. The present work emphasizes the comparison of some vibration parameters to characterize the distributed defects in the bearing, RMS, Peak and peak to peak which are used in the detection defects in the bearing. These parameters are measured at various load and speeds with simulated defect on bearing parts. This paper also shows the sensitivity of kurtosis in condition monitoring of ball bearing. It has been shown that vibration based monitoring is an effective method for detecting the faults in the bearing.
topic condition monitoring
vibration analysis
ball bearing
defect frequency
url https://www.jvejournals.com/article/17164
work_keys_str_mv AT shamkulkarni vibrationbasedconditionassessmentofballbearingwithdistributeddefects
AT anandbewoor vibrationbasedconditionassessmentofballbearingwithdistributeddefects
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