Home // International Journal On Advances in Systems and Measurements, volume 13, numbers 1 and 2, 2020 // View article

Signal Processing in Vibration Analysis with Application in Predictive Maintenance of Rotating Machines

Authors:
Theodor D. Popescu
Dorel Aiordachioaie
Anisia Culea-Florescu

Keywords: Predictive maintenance; Change detection; Independent component analysis; Time-frequency analysis; Energy distribution; Rolling element bearings; Industrial pump

Abstract:
A general approach for change detection in vibration signals with application in predictive maintenance of rotating machines represents the object of the paper. After an overview of the maintenance approach, the condition monitoring in predictive maintenance is presented. Also, some vibration analysis techniques, making use of change detection, independent component analysis, time-frequency analysis and energy distribution, with application in predictive maintenance of rotating machinery, are discussed. They can be combined in a unified approach, offering new possibilities for more robust detection of changes in vibration signals, and assuring proactive actions in predictive maintenance. Finally, some experimental results for detection of faults in rolling element bearings and in a rotating machine operating, an industrial pump, are presented.

Pages: 119 to 130

Copyright: Copyright (c) to authors, 2020. Used with permission.

Publication date: June 30, 2020

Published in: journal

ISSN: 1942-261x