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Experimental Study on Condition Monitoring of Low Speed Bearings : Time Domain Analysis
Kim, Eric Y., Tan, Andy C. C., Yang, Bo-Suk and Kosse, Vladis (2007). Experimental Study on Condition Monitoring of Low Speed Bearings : Time Domain Analysis. In: Martin Veidt, Faris Albermani, Bill Daniel, John Griffiths, Doug Hargreaves, Ross McAree, v Meehan and Andy Tan, Proceedings of the 5th Australasian Congress on Applied Mechanics (ACAM 2007). 5th Australasian Congress on Applied Mechanics (ACAM 2007), Brisbane, Australia, (108-113). 10-12 December, 2007.
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| Attached Files (Some files may be inaccessible until you login with your UQ eSpace credentials) |
| Name |
Description |
MIMEType |
Size |
Downloads |
B1.3.pdf
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B1.3.pdf |
application/pdf |
242.12KB |
798 |
| Author(s) |
Kim, Eric Y.
Tan, Andy C. C.
Yang, Bo-Suk
Kosse, Vladis
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| Title of paper |
Experimental Study on Condition Monitoring of Low Speed Bearings : Time Domain Analysis
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| Conference name |
5th Australasian Congress on Applied Mechanics (ACAM 2007)
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| Conference location |
Brisbane, Australia
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| Conference dates |
10-12 December, 2007
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| Proceedings title |
Proceedings of the 5th Australasian Congress on Applied Mechanics (ACAM 2007)
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| Editor(s) |
Martin Veidt
Faris Albermani
Bill Daniel
John Griffiths
Doug Hargreaves
Ross McAree
v Meehan
Andy Tan
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| Place published |
Brisbane
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| Publisher |
Engineers Australia
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| Publication date |
2007
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| Year available |
2008
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| Volume number |
1
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| ISBN |
0 8582 5862 5
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| Start page |
108
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| End page |
113
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| Total pages |
6
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| Collection year |
2007
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| Language |
eng
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| Abstract/Summary |
In condition monitoring of low speed rolling element bearings (REBs), traditional techniques involving vibration acceleration may not be able to detect a growing fault due to the low impact energy generated by the relative motion of the components. This study presents an experimental evaluation for incipient fault detection of low speed REBs by using an acoustic emission (AE) sensor and an accelerometer. A low speed fault simulation test rig was developed to simulate common machine faults with shaft speeds as low as 10rpm under loading conditions. Tests were conducted on the rig with various seeded defect bearings. This study reveals the best frequency bandwidth and suitable parameters for condition monitoring using AE signal for early detection of low speed bearing defects by means of statistical parameters in time domain.
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| Subjects |
290501 Mechanical Engineering
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| Keyword(s) |
Acoustic Emission
Condition Monitoring
Rolling Element Bearing
Low Speed Machinery
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