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...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
University of Belgrade - Faculty of Mechanical Engineering, Belgrade
2021-01-01
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| Series: | FME Transactions |
| Subjects: | |
| Online Access: | https://scindeks-clanci.ceon.rs/data/pdf/1451-2092/2021/1451-20922103684M.pdf |
| _version_ | 1818838159826354176 |
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| author | Mohammed Jawad Saja Abdulhady Jaber Alaa |
| author_facet | Mohammed Jawad Saja Abdulhady Jaber Alaa |
| author_sort | Mohammed Jawad Saja |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-12-19T03:33:58Z |
| format | Article |
| id | doaj.art-7538e04227114859aca8d1d6e9a5ae76 |
| institution | Directory Open Access Journal |
| issn | 1451-2092 2406-128X |
| language | English |
| last_indexed | 2024-12-19T03:33:58Z |
| publishDate | 2021-01-01 |
| publisher | University of Belgrade - Faculty of Mechanical Engineering, Belgrade |
| record_format | Article |
| series | FME Transactions |
| spelling | doaj.art-7538e04227114859aca8d1d6e9a5ae762022-12-21T20:37:26ZengUniversity of Belgrade - Faculty of Mechanical Engineering, BelgradeFME Transactions1451-20922406-128X2021-01-0149368469510.5937/fme2103684M1451-20922103684MRolling bearing fault detection based on vibration signal analysis and cumulative sum control chartMohammed Jawad Saja0Abdulhady Jaber Alaa1University of Technology, Mechanical Engineering Department, IraqUniversity of Technology, Mechanical Engineering Department, IraqMonitoring 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.https://scindeks-clanci.ceon.rs/data/pdf/1451-2092/2021/1451-20922103684M.pdfcusum chartstatistical control chartvibration analysisrolling bearing health monitoringfault detection |
| spellingShingle | Mohammed Jawad Saja Abdulhady Jaber Alaa Rolling bearing fault detection based on vibration signal analysis and cumulative sum control chart FME Transactions cusum chart statistical control chart vibration analysis rolling bearing health monitoring fault detection |
| title | 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_short | 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 |
| topic | cusum chart statistical control chart vibration analysis rolling bearing health monitoring fault detection |
| url | https://scindeks-clanci.ceon.rs/data/pdf/1451-2092/2021/1451-20922103684M.pdf |
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