Proceedings of the 2014 International Conference on Advanced ICT (ICAICTE 2014)

3D printed acoustic camera for electric motor diagnostics

Authors
Maciej Orman, Pawel Rzeszucinski, Cajetan T. Pinto
Corresponding Author
Maciej Orman
Available Online August 2014.
DOI
10.2991/icaicte-14.2014.10How to use a DOI?
Keywords
condition monitoring, induction motor, broken bar, acoustic analysis, acoustic camera, sound source localization
Abstract

This paper focuses on the aspect of performing acoustic analysis for the purpose of electric motors diagnostics. The measurements are performed in noisy industrial environment with the use of a dedicated acoustic camera build by ABB. The acoustic camera comprises a set of microphones arranged in a pre-defined, carefully designed and manufactured shape. The great advantage of acoustic cameras is the sound measurements can be used to pin-point the exact location of the sound source in a monitored scene. This, in turn allows for the frequencies of interest to be separated from the background noise. The paper presents the result of comparing the acoustic camera outputs from two induction motor – a healthy motor and a motor suffering from a broken rotor bar fault. The presented results show that the acoustic camera is capable of detecting the characteristic electric motor fault and robustly localize it in space, which proves its robustness even in noisy industrial environment.

Copyright
© 2014, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2014 International Conference on Advanced ICT (ICAICTE 2014)
Series
Advances in Computer Science Research
Publication Date
August 2014
ISBN
978-94-62520-23-3
ISSN
2352-538X
DOI
10.2991/icaicte-14.2014.10How to use a DOI?
Copyright
© 2014, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Maciej Orman
AU  - Pawel Rzeszucinski
AU  - Cajetan T. Pinto
PY  - 2014/08
DA  - 2014/08
TI  - 3D printed acoustic camera for electric motor diagnostics
BT  - Proceedings of the 2014 International Conference on Advanced ICT (ICAICTE 2014)
PB  - Atlantis Press
SP  - 43
EP  - 47
SN  - 2352-538X
UR  - https://doi.org/10.2991/icaicte-14.2014.10
DO  - 10.2991/icaicte-14.2014.10
ID  - Orman2014/08
ER  -