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

doi:10.13140/RG.2.1.4750.4728

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

Flanders Mechatronics Technology Centre
Cranfield University

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding › peer-review

66 Downloads (Pure)

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 language	English
Title of host publication	Second European Conference of the Prognostics and Health Management Society 2014
Publisher	The Prognostics and Health Management Society
Number of pages	8
ISBN (Print)	978-1-936263-16-5
DOIs	https://doi.org/10.13140/RG.2.1.4750.4728
Publication status	Published - 2014
Externally published	Yes
Event	Second European Conference of the Prognostics and Health Management Society 2014 - Nantes, France Duration: 8 Jul 2014 → 10 Jul 2014 Conference number: 2nd https://www.phmsociety.org/events/conference/phm/europe/14

Publication series

Name
ISSN (Print)	2325-016X

Conference

Conference	Second European Conference of the Prognostics and Health Management Society 2014
Abbreviated title	PHME'14
Country/Territory	France
City	Nantes
Period	8/07/14 → 10/07/14
Internet address	https://www.phmsociety.org/events/conference/phm/europe/14

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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PublishedFinal published version, 1.69 MBLicence: CC BY

http://www.phmsociety.org/sites/phmsociety.org/files/phm_submission/2014/phmce_14_062.pdf

Cite this

Effect of parameters setting on performance of discrete component removal (DCR) methods for bearing faults detection. / Kilundu, Bovic; Ompusunggu, Agusmian Partogi; Elasha, Faris et al.
Second European Conference of the Prognostics and Health Management Society 2014. The Prognostics and Health Management Society , 2014.

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding › peer-review

Kilundu, B, Ompusunggu, AP, 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 , Second European Conference of the Prognostics and Health Management Society 2014, Nantes, France, 8/07/14. https://doi.org/10.13140/RG.2.1.4750.4728

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

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. ",

author = "Bovic Kilundu and Ompusunggu, \{Agusmian Partogi\} and Faris Elasha and David Mba",

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. ; Second European Conference of the Prognostics and Health Management Society 2014, PHME'14 ; Conference date: 08-07-2014 Through 10-07-2014",

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AU - Ompusunggu, Agusmian Partogi

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AU - Mba, David

N1 - Conference code: 2nd

PY - 2014

Y1 - 2014

N2 - 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.

AB - 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.

UR - https://doi.org/10.13140/RG.2.1.4750.4728

U2 - 10.13140/RG.2.1.4750.4728

DO - 10.13140/RG.2.1.4750.4728

M3 - Conference proceeding

SN - 978-1-936263-16-5

BT - Second European Conference of the Prognostics and Health Management Society 2014

PB - The Prognostics and Health Management Society

T2 - Second European Conference of the Prognostics and Health Management Society 2014

Y2 - 8 July 2014 through 10 July 2014

ER -

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

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