0
Research Papers

Automated Operating Mode Classification for Online Monitoring Systems

[+] Author and Article Information
Markus A. Timusk

 Laurentian University, Sudbury, ON, P3E 2C6, Canadamtimusk@laurentian.ca

Michael G. Lipsett

 University of Alberta, Edmonton, AL, T6G 2G8, Canadamichael.lipsett@ualberta.ca

Jordan McBain

 Laurentian University, Sudbury, ON, P3E 2C6, Canada

Chris K. Mechefske1

 Queen’s University, Kingston, ON, K7L 3N6, Canadachrism@me.queensu.ca

1

Corresponding author. Also at Department of Mechanical and Materials Engineering, McLaughlin Hall, Queen’s University, Kingston, ON, K7L 3N6, Canada.

J. Vib. Acoust 131(4), 041003 (Jun 05, 2009) (10 pages) doi:10.1115/1.3142871 History: Received May 09, 2007; Revised April 15, 2009; Published June 05, 2009

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.

FIGURES IN THIS ARTICLE
<>
Copyright © 2009 by American Society of Mechanical Engineers
Your Session has timed out. Please sign back in to continue.

References

Figures

Grahic Jump Location
Figure 1

Block diagram of signal processing system

Grahic Jump Location
Figure 2

P&H TS4100 electromechanical excavator

Grahic Jump Location
Figure 3

P&H TS4100 swing gearbox and motor

Grahic Jump Location
Figure 4

Spectrogram (top) and corresponding speed plot (bottom) of gearbox

Grahic Jump Location
Figure 5

Plan view of machine enclosure for P&H TS4100 excavator

Grahic Jump Location
Figure 6

Mode classification data flow using speed and vibration features

Grahic Jump Location
Figure 7

General pattern recognition system for condition monitoring

Grahic Jump Location
Figure 8

Calculation of speed profile

Grahic Jump Location
Figure 9

Spline fit of speed profile

Grahic Jump Location
Figure 10

Combinations of system configurations used for testing

Grahic Jump Location
Figure 11

Comparison of preprocessing methods (averaged across all features and all classifiers)

Grahic Jump Location
Figure 12

Feature set comparison (averaged across all features and all classifiers)

Grahic Jump Location
Figure 13

Classifier decision boundaries, acceleration speed features (0—empty; x—full)

Grahic Jump Location
Figure 14

Comparison of classifiers—acceleration segment

Tables

Errata

Discussions

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging and repositioning the boxes below.

Related Journal Articles
Related eBook Content
Topic Collections

Sorry! You do not have access to this content. For assistance or to subscribe, please contact us:

  • TELEPHONE: 1-800-843-2763 (Toll-free in the USA)
  • EMAIL: asmedigitalcollection@asme.org
Sign In