Rolling bearing fault detection based on vibration signal analysis and cumulative sum control chart

Monitoring the condition of rotating machines is essential for the systems' safety, reducing maintenance costs, and increasing reliability. In this research, a fault detection system for bearings was developed using the vibration analysis technique with the statistical control chart approach. A...

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Autores principales:	Mohammed Jawad Saja, Abdulhady Jaber Alaa
Formato:	article
Lenguaje:	EN
Publicado:	University of Belgrade - Faculty of Mechanical Engineering, Belgrade 2021
Materias:	cusum chart statistical control chart vibration analysis rolling bearing health monitoring fault detection Engineering (General). Civil engineering (General) TA1-2040 Mechanics of engineering. Applied mechanics TA349-359
Acceso en línea:	https://doaj.org/article/7538e04227114859aca8d1d6e9a5ae76
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spelling	oai:doaj.org-article:7538e04227114859aca8d1d6e9a5ae762021-12-05T21:01:45ZRolling bearing fault detection based on vibration signal analysis and cumulative sum control chart1451-20922406-128X10.5937/fme2103684Mhttps://doaj.org/article/7538e04227114859aca8d1d6e9a5ae762021-01-01T00:00:00Zhttps://scindeks-clanci.ceon.rs/data/pdf/1451-2092/2021/1451-20922103684M.pdfhttps://doaj.org/toc/1451-2092https://doaj.org/toc/2406-128XMonitoring the condition of rotating machines is essential for the systems' safety, reducing maintenance costs, and increasing reliability. In this research, a fault detection system for bearings was developed using the vibration analysis technique with the statistical control chart approach. A test rig was first designed and constructed; then, various bearing faults, such as inner race and outer race faults, were simulated and examined in the test rig. After capturing the vibration signals at different bearing health conditions, the time-domain signal analysis technique was employed for extracting different indicative features. The obtained time domain features were then analyzed to find out the most fault-significant feature. Then, only one feature was selected to design the control chart for bearing health condition monitoring. The cumulative sum control chart (CUSUM was utilized since it can detect the small changes in bearing health states. The results showed the effectiveness of utilizing this method, and it was found that the percentage of the out-of-control points in the event of the combined cage and ball fault to the number of tested samples is greater than the other fault types.Mohammed Jawad SajaAbdulhady Jaber AlaaUniversity of Belgrade - Faculty of Mechanical Engineering, Belgradearticlecusum chartstatistical control chartvibration analysisrolling bearing health monitoringfault detectionEngineering (General). Civil engineering (General)TA1-2040Mechanics of engineering. Applied mechanicsTA349-359ENFME Transactions, Vol 49, Iss 3, Pp 684-695 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	cusum chart statistical control chart vibration analysis rolling bearing health monitoring fault detection Engineering (General). Civil engineering (General) TA1-2040 Mechanics of engineering. Applied mechanics TA349-359
spellingShingle	cusum chart statistical control chart vibration analysis rolling bearing health monitoring fault detection Engineering (General). Civil engineering (General) TA1-2040 Mechanics of engineering. Applied mechanics TA349-359 Mohammed Jawad Saja Abdulhady Jaber Alaa Rolling bearing fault detection based on vibration signal analysis and cumulative sum control chart
description	Monitoring the condition of rotating machines is essential for the systems' safety, reducing maintenance costs, and increasing reliability. In this research, a fault detection system for bearings was developed using the vibration analysis technique with the statistical control chart approach. A test rig was first designed and constructed; then, various bearing faults, such as inner race and outer race faults, were simulated and examined in the test rig. After capturing the vibration signals at different bearing health conditions, the time-domain signal analysis technique was employed for extracting different indicative features. The obtained time domain features were then analyzed to find out the most fault-significant feature. Then, only one feature was selected to design the control chart for bearing health condition monitoring. The cumulative sum control chart (CUSUM was utilized since it can detect the small changes in bearing health states. The results showed the effectiveness of utilizing this method, and it was found that the percentage of the out-of-control points in the event of the combined cage and ball fault to the number of tested samples is greater than the other fault types.
format	article
author	Mohammed Jawad Saja Abdulhady Jaber Alaa
author_facet	Mohammed Jawad Saja Abdulhady Jaber Alaa
author_sort	Mohammed Jawad Saja
title	Rolling bearing fault detection based on vibration signal analysis and cumulative sum control chart
title_short	Rolling bearing fault detection based on vibration signal analysis and cumulative sum control chart
title_full	Rolling bearing fault detection based on vibration signal analysis and cumulative sum control chart
title_fullStr	Rolling bearing fault detection based on vibration signal analysis and cumulative sum control chart
title_full_unstemmed	Rolling bearing fault detection based on vibration signal analysis and cumulative sum control chart
title_sort	rolling bearing fault detection based on vibration signal analysis and cumulative sum control chart
publisher	University of Belgrade - Faculty of Mechanical Engineering, Belgrade
publishDate	2021
url	https://doaj.org/article/7538e04227114859aca8d1d6e9a5ae76
work_keys_str_mv	AT mohammedjawadsaja rollingbearingfaultdetectionbasedonvibrationsignalanalysisandcumulativesumcontrolchart AT abdulhadyjaberalaa rollingbearingfaultdetectionbasedonvibrationsignalanalysisandcumulativesumcontrolchart
_version_	1718371008441745408

Rolling bearing fault detection based on vibration signal analysis and cumulative sum control chart

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