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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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 |
_version_ |
1725273542213238784 |