Transient operation of machinery can greatly complicate the task of vibration-based online condition monitoring. Because the operating mode of a machine affects the physical response and hence the diagnostic parameters, real-time information regarding the operating mode is likely to improve the performance of an online fault detection system. This paper proposes a method for automated operating mode classification to augment the performance of vibration-based online condition monitoring systems for applications such as gearboxes, motors, and their constituent components. Experimental work has been carried out on the swing machinery of an electromechanical excavator, which demonstrates how such a method might function on actual dynamic signals gathered from an operating machine. Several variations of the system have been tested and found to be successful.
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August 2009
Research Papers
Automated Operating Mode Classification for Online Monitoring Systems
Jordan McBain,
Jordan McBain
Laurentian University
, Sudbury, ON, P3E 2C6, Canada
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Chris K. Mechefske
Chris K. Mechefske
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Markus A. Timusk
Michael G. Lipsett
Jordan McBain
Laurentian University
, Sudbury, ON, P3E 2C6, Canada
Chris K. Mechefske
J. Vib. Acoust. Aug 2009, 131(4): 041003 (10 pages)
Published Online: June 5, 2009
Article history
Received:
May 9, 2007
Revised:
April 15, 2009
Published:
June 5, 2009
Citation
Timusk, M. A., Lipsett, M. G., McBain, J., and Mechefske, C. K. (June 5, 2009). "Automated Operating Mode Classification for Online Monitoring Systems." ASME. J. Vib. Acoust. August 2009; 131(4): 041003. https://doi.org/10.1115/1.3142871
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