Bearing damage detection based on sound signal

Muhammad Aswin; I. N.G. Wardana; Yudy Surya Irawan; Hadi Suyono

doi:10.4028/www.scientific.net/AMM.548-549.698

Bearing damage detection based on sound signal

Faculty of Engineering

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

5 Citations (Scopus)

Abstract

This paper presents a new method in damage detection by taking the sound signals of the rolling bearings in different levels. The tested bearing was put on the end of the shaft rotated by permanent magnet synchronous motor. The sound signal produced by this rig was recorded separately for each bearing condition with the same experimental environment. The sound data signals are compared each other. Based on the cross-correlation analysis, the recorded sound signal proved that the signals were recorded with the same environment. The power spectra calculation has shown different harmonic frequencies according to various bearing conditions. The total power of the sound is decreased along with the increasing damage. This is also confirmed by the autocorrelation of each sound signal that shows the appearance of the sounds impulse repetition with a wider period.

Original language	English
Title of host publication	Achievements in Engineering Sciences
Publisher	Trans Tech Publications
Pages	698-702
Number of pages	5
ISBN (Print)	9783038350842
DOIs	https://doi.org/10.4028/www.scientific.net/AMM.548-549.698
Publication status	Published - 2014
Event	3rd International Conference on Manufacturing Engineering and Process, ICMEP 2014 - Seoul, Korea, Republic of Duration: 10 Apr 2014 → 11 Apr 2014

Publication series

Name	Applied Mechanics and Materials
Volume	548-549
ISSN (Print)	1660-9336
ISSN (Electronic)	1662-7482

Conference

Conference	3rd International Conference on Manufacturing Engineering and Process, ICMEP 2014
Country/Territory	Korea, Republic of
City	Seoul
Period	10/04/14 → 11/04/14

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Bearing
Correlations
Damage detection
Sound signal
Spectra

Access to Document

10.4028/www.scientific.net/AMM.548-549.698

Cite this

@inproceedings{5089be0db5d24c159d5a02e4fb1007fc,

title = "Bearing damage detection based on sound signal",

abstract = "This paper presents a new method in damage detection by taking the sound signals of the rolling bearings in different levels. The tested bearing was put on the end of the shaft rotated by permanent magnet synchronous motor. The sound signal produced by this rig was recorded separately for each bearing condition with the same experimental environment. The sound data signals are compared each other. Based on the cross-correlation analysis, the recorded sound signal proved that the signals were recorded with the same environment. The power spectra calculation has shown different harmonic frequencies according to various bearing conditions. The total power of the sound is decreased along with the increasing damage. This is also confirmed by the autocorrelation of each sound signal that shows the appearance of the sounds impulse repetition with a wider period.",

keywords = "Bearing, Correlations, Damage detection, Sound signal, Spectra",

author = "Muhammad Aswin and Wardana, \{I. N.G.\} and Irawan, \{Yudy Surya\} and Hadi Suyono",

year = "2014",

doi = "10.4028/www.scientific.net/AMM.548-549.698",

language = "English",

isbn = "9783038350842",

series = "Applied Mechanics and Materials",

publisher = "Trans Tech Publications",

pages = "698--702",

booktitle = "Achievements in Engineering Sciences",

note = "3rd International Conference on Manufacturing Engineering and Process, ICMEP 2014 ; Conference date: 10-04-2014 Through 11-04-2014",

}

Aswin, M, Wardana, ING , Irawan, YS & Suyono, H 2014, Bearing damage detection based on sound signal. in Achievements in Engineering Sciences. Applied Mechanics and Materials, vol. 548-549, Trans Tech Publications, pp. 698-702, 3rd International Conference on Manufacturing Engineering and Process, ICMEP 2014, Seoul, Korea, Republic of, 10/04/14. https://doi.org/10.4028/www.scientific.net/AMM.548-549.698

TY - GEN

T1 - Bearing damage detection based on sound signal

AU - Aswin, Muhammad

AU - Wardana, I. N.G.

AU - Irawan, Yudy Surya

AU - Suyono, Hadi

PY - 2014

Y1 - 2014

N2 - This paper presents a new method in damage detection by taking the sound signals of the rolling bearings in different levels. The tested bearing was put on the end of the shaft rotated by permanent magnet synchronous motor. The sound signal produced by this rig was recorded separately for each bearing condition with the same experimental environment. The sound data signals are compared each other. Based on the cross-correlation analysis, the recorded sound signal proved that the signals were recorded with the same environment. The power spectra calculation has shown different harmonic frequencies according to various bearing conditions. The total power of the sound is decreased along with the increasing damage. This is also confirmed by the autocorrelation of each sound signal that shows the appearance of the sounds impulse repetition with a wider period.

AB - This paper presents a new method in damage detection by taking the sound signals of the rolling bearings in different levels. The tested bearing was put on the end of the shaft rotated by permanent magnet synchronous motor. The sound signal produced by this rig was recorded separately for each bearing condition with the same experimental environment. The sound data signals are compared each other. Based on the cross-correlation analysis, the recorded sound signal proved that the signals were recorded with the same environment. The power spectra calculation has shown different harmonic frequencies according to various bearing conditions. The total power of the sound is decreased along with the increasing damage. This is also confirmed by the autocorrelation of each sound signal that shows the appearance of the sounds impulse repetition with a wider period.

KW - Bearing

KW - Correlations

KW - Damage detection

KW - Sound signal

KW - Spectra

UR - https://www.scopus.com/pages/publications/84901814068

U2 - 10.4028/www.scientific.net/AMM.548-549.698

DO - 10.4028/www.scientific.net/AMM.548-549.698

M3 - Conference contribution

AN - SCOPUS:84901814068

SN - 9783038350842

T3 - Applied Mechanics and Materials

SP - 698

EP - 702

BT - Achievements in Engineering Sciences

PB - Trans Tech Publications

T2 - 3rd International Conference on Manufacturing Engineering and Process, ICMEP 2014

Y2 - 10 April 2014 through 11 April 2014

ER -

Bearing damage detection based on sound signal

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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