Effect of parameters setting on performance of discrete component removal (DCR) methods for bearing faults detection

Bovic Kilundu, Agusmian Partogi Ompusunggu, Faris Elasha, David Mba

Research output: Chapter in Book/Report/Conference proceedingConference proceeding

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Abstract

Separation between non-deterministic and deterministic components of gearbox vibration signals has been considered as
important signal processing step for rolling-element bearing
fault diagnostics. In this paper, the performance of bearing fault detection after applying various discrete components
removal (DCR) methods is quantitatively compared. Three
methods that have become widely used, namely (i) time synchronous average, (ii) self adaptive noise cancellation (SANC)
and (iii) cepstrum editing, were considered. The three DCR
methods with different parameter settings have been applied
to vibration signals measured on two different gearboxes. In
general, the experimental results show that cepstrum editing
method outperforms the other two methods.
Original languageEnglish
Title of host publication Second European Conference of the Prognostics and Health Management Society 2014
PublisherThe Prognostics and Health Management Society
Number of pages8
ISBN (Print)978-1-936263-16-5
DOIs
Publication statusPublished - 2014
Externally publishedYes
EventSecond European Conference of the Prognostics and Health Management Society 2014 - Nantes, France
Duration: 8 Jul 201410 Jul 2014
Conference number: 2nd
https://www.phmsociety.org/events/conference/phm/europe/14

Publication series

Name
ISSN (Print)2325-016X

Conference

ConferenceSecond European Conference of the Prognostics and Health Management Society 2014
Abbreviated title PHME'14
CountryFrance
CityNantes
Period8/07/1410/07/14
Internet address

Bibliographical note

B. Kilundu et al. This is an open-access article distributed under the terms of the Creative Commons Attribution 3.0 United States License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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    Kilundu, B., Ompusunggu, A. P., Elasha, F., & Mba, D. (2014). Effect of parameters setting on performance of discrete component removal (DCR) methods for bearing faults detection. In Second European Conference of the Prognostics and Health Management Society 2014 The Prognostics and Health Management Society . https://doi.org/10.13140/RG.2.1.4750.4728