Dixon_engrev_article_878.pdf (92.76 kB)
0/0

Characterisation of major fault detection features and techniques for the condition-based monitoring of high-speed centrifugal blowers

Download (92.76 kB)
journal contribution
posted on 25.07.2016 by Samer S.A.A. Gowid, Roger Dixon, Saud Ghani
This paper investigates and characterises the major fault detection signal features and techniques for the diagnostics of rotating element bearings and air leakage faults in high-speed centrifugal blowers. The investigation is based on time domain and frequency domain analysis, as well as on process information, vibration, and acoustic emission fault detection techniques. The results showed that the data analysis method applied in this study is effective, as it yielded a detection accuracy of 100%. A lookup table was compiled to provide an integrated solution for the developer of Condition-Based Monitoring (CBM) applications of centrifugal blowers. The major contribution of this paper is the integration and characterisation of the major fault detection features and techniques.

History

School

  • Mechanical, Electrical and Manufacturing Engineering

Published in

INTERNATIONAL JOURNAL OF ACOUSTICS AND VIBRATION

Volume

21

Issue

2

Pages

184 - 191 (8)

Citation

GOWID, S., DIXON, R. and GHANI, S., 2016. Characterisation of major fault detection features and techniques for the condition-based monitoring of high-speed centrifugal blowers. International Journal of Acoustics and Vibration, 21(2), pp. 184-191.

Publisher

© International Institute of Acoustics and Vibration

Version

AM (Accepted Manuscript)

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/

Publication date

2016-06-11

Notes

This paper was accepted for publication in the International Journal of Acoustics and Vibration it is reproduced with kind permission of International Institute of Acoustics and Vibration.

ISSN

1027-5851

Language

en

Exports

Logo branding

Keyword(s)

Exports