Characterization of acoustic emissions from journal bearings for fault detection

Hossein Towsyfyan, Parno Raharjo, Fengshou Gu, Andrew Ball

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

Abstract

Acoustic emission (AE) technology is one of the most established diagnostic techniques for rolling bearing monitoring in rotating machinery. The application of high-frequency AE for bearing diagnosis is gaining acceptance as a useful complimentary tool. This paper demonstrates the use of AE measurements to investigate the AE characteristics of self-aligning journal bearings under different rotational speed, radial load and lubrication condition. To undertake this task, a purpose-built test rig was employed for collecting AE signals from the journal bearings. Then, the collected data was processed using time domain and frequency domain analysis methods which are of the most common techniques used for monitoring in AE applications. The results shown that the data analysis method applied in this work is effective for characterising complicated AE signals. Based on obtained results, it is concluded that the AE energy levels in high frequency range higher for the higher radial load and speed condition. For different lubricant cases AE energy becomes high when the viscosity is lower, which means that AE can be used to detect lubrication degradation in journal bearings.

LanguageEnglish
Title of host publication52nd Annual Conference of the British Institute of Non-Destructive Testing 2013, NDT 2013
PublisherBritish Institute of Non-Destructive Testing
Pages92-103
Number of pages12
ISBN (Print)9781629939933
Publication statusPublished - 2013
Event52nd Annual Conference of the British Institute of Non-Destructive Testing - Telford, United Kingdom
Duration: 10 Sep 201312 Sep 2013
Conference number: 52

Conference

Conference52nd Annual Conference of the British Institute of Non-Destructive Testing
Abbreviated titleBINDT 2013
CountryUnited Kingdom
CityTelford
Period10/09/1312/09/13

Fingerprint

Journal bearings
Acoustic emissions
Fault detection
Bearings (structural)
Lubrication
Frequency domain analysis
Rotating machinery
Monitoring
Electron energy levels
Lubricants
Viscosity
Degradation

Cite this

Towsyfyan, H., Raharjo, P., Gu, F., & Ball, A. (2013). Characterization of acoustic emissions from journal bearings for fault detection. In 52nd Annual Conference of the British Institute of Non-Destructive Testing 2013, NDT 2013 (pp. 92-103). British Institute of Non-Destructive Testing.
Towsyfyan, Hossein ; Raharjo, Parno ; Gu, Fengshou ; Ball, Andrew. / Characterization of acoustic emissions from journal bearings for fault detection. 52nd Annual Conference of the British Institute of Non-Destructive Testing 2013, NDT 2013. British Institute of Non-Destructive Testing, 2013. pp. 92-103
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title = "Characterization of acoustic emissions from journal bearings for fault detection",
abstract = "Acoustic emission (AE) technology is one of the most established diagnostic techniques for rolling bearing monitoring in rotating machinery. The application of high-frequency AE for bearing diagnosis is gaining acceptance as a useful complimentary tool. This paper demonstrates the use of AE measurements to investigate the AE characteristics of self-aligning journal bearings under different rotational speed, radial load and lubrication condition. To undertake this task, a purpose-built test rig was employed for collecting AE signals from the journal bearings. Then, the collected data was processed using time domain and frequency domain analysis methods which are of the most common techniques used for monitoring in AE applications. The results shown that the data analysis method applied in this work is effective for characterising complicated AE signals. Based on obtained results, it is concluded that the AE energy levels in high frequency range higher for the higher radial load and speed condition. For different lubricant cases AE energy becomes high when the viscosity is lower, which means that AE can be used to detect lubrication degradation in journal bearings.",
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Towsyfyan, H, Raharjo, P, Gu, F & Ball, A 2013, Characterization of acoustic emissions from journal bearings for fault detection. in 52nd Annual Conference of the British Institute of Non-Destructive Testing 2013, NDT 2013. British Institute of Non-Destructive Testing, pp. 92-103, 52nd Annual Conference of the British Institute of Non-Destructive Testing, Telford, United Kingdom, 10/09/13.

Characterization of acoustic emissions from journal bearings for fault detection. / Towsyfyan, Hossein; Raharjo, Parno; Gu, Fengshou; Ball, Andrew.

52nd Annual Conference of the British Institute of Non-Destructive Testing 2013, NDT 2013. British Institute of Non-Destructive Testing, 2013. p. 92-103.

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

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N2 - Acoustic emission (AE) technology is one of the most established diagnostic techniques for rolling bearing monitoring in rotating machinery. The application of high-frequency AE for bearing diagnosis is gaining acceptance as a useful complimentary tool. This paper demonstrates the use of AE measurements to investigate the AE characteristics of self-aligning journal bearings under different rotational speed, radial load and lubrication condition. To undertake this task, a purpose-built test rig was employed for collecting AE signals from the journal bearings. Then, the collected data was processed using time domain and frequency domain analysis methods which are of the most common techniques used for monitoring in AE applications. The results shown that the data analysis method applied in this work is effective for characterising complicated AE signals. Based on obtained results, it is concluded that the AE energy levels in high frequency range higher for the higher radial load and speed condition. For different lubricant cases AE energy becomes high when the viscosity is lower, which means that AE can be used to detect lubrication degradation in journal bearings.

AB - Acoustic emission (AE) technology is one of the most established diagnostic techniques for rolling bearing monitoring in rotating machinery. The application of high-frequency AE for bearing diagnosis is gaining acceptance as a useful complimentary tool. This paper demonstrates the use of AE measurements to investigate the AE characteristics of self-aligning journal bearings under different rotational speed, radial load and lubrication condition. To undertake this task, a purpose-built test rig was employed for collecting AE signals from the journal bearings. Then, the collected data was processed using time domain and frequency domain analysis methods which are of the most common techniques used for monitoring in AE applications. The results shown that the data analysis method applied in this work is effective for characterising complicated AE signals. Based on obtained results, it is concluded that the AE energy levels in high frequency range higher for the higher radial load and speed condition. For different lubricant cases AE energy becomes high when the viscosity is lower, which means that AE can be used to detect lubrication degradation in journal bearings.

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Towsyfyan H, Raharjo P, Gu F, Ball A. Characterization of acoustic emissions from journal bearings for fault detection. In 52nd Annual Conference of the British Institute of Non-Destructive Testing 2013, NDT 2013. British Institute of Non-Destructive Testing. 2013. p. 92-103