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Vibration event detection: A monitoring method for slow speed bearings

Conference Paper


Abstract


  • Traditional signal analysis methods appear to fail in their ability to provide consistent meaningful information when presented with data from large slow moving slew bearings. A number of reasons for this are presented. Statistics obtained from vibration data collected from a large Coal Reclaimer and an experimental test-rig is discussed. The Coal Reclaimer rotates at 4.3 rpm about two vertically mounted, large, slew bearings. The experimental test-rig rotates at 1 rpm in the horizontal plane. These statistics are compared to the results obtained using a simple event detection algorithm. The event detection algorithm is detailed and its strengths discussed relative to other methods. It is found that the event detection method provides a consistent statistical view of the condition of the slew bearing but not necessarily better than simple statistical measures. The event detection algorithm is now being used as a condition monitoring tool on the test-rig designed to specifically condition monitor horizontally mounted slow speed (1 rpm) bearings to failure.

Publication Date


  • 2007

Citation


  • Moodie, C., Tieu, A. K., & Biddle, S. (2007). Vibration event detection: A monitoring method for slow speed bearings. In 14th International Congress on Sound and Vibration 2007, ICSV 2007 Vol. 2 (pp. 1466-1473).

Scopus Eid


  • 2-s2.0-84881470511

Web Of Science Accession Number


Start Page


  • 1466

End Page


  • 1473

Volume


  • 2

Abstract


  • Traditional signal analysis methods appear to fail in their ability to provide consistent meaningful information when presented with data from large slow moving slew bearings. A number of reasons for this are presented. Statistics obtained from vibration data collected from a large Coal Reclaimer and an experimental test-rig is discussed. The Coal Reclaimer rotates at 4.3 rpm about two vertically mounted, large, slew bearings. The experimental test-rig rotates at 1 rpm in the horizontal plane. These statistics are compared to the results obtained using a simple event detection algorithm. The event detection algorithm is detailed and its strengths discussed relative to other methods. It is found that the event detection method provides a consistent statistical view of the condition of the slew bearing but not necessarily better than simple statistical measures. The event detection algorithm is now being used as a condition monitoring tool on the test-rig designed to specifically condition monitor horizontally mounted slow speed (1 rpm) bearings to failure.

Publication Date


  • 2007

Citation


  • Moodie, C., Tieu, A. K., & Biddle, S. (2007). Vibration event detection: A monitoring method for slow speed bearings. In 14th International Congress on Sound and Vibration 2007, ICSV 2007 Vol. 2 (pp. 1466-1473).

Scopus Eid


  • 2-s2.0-84881470511

Web Of Science Accession Number


Start Page


  • 1466

End Page


  • 1473

Volume


  • 2