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Sensors 2014, 14(1), 1372-1393; doi:10.3390/s140101372
Article

Gearbox Tooth Cut Fault Diagnostics Using Acoustic Emission and Vibration Sensors — A Comparative Study

1
,
1,* , 1
,
1
,
2
 and
3
1 Department of Mechanical and Industrial Engineering, University of Illinois at Chicago, Chicago, IL 60607, USA 2 Green Power Monitoring Systems, LLC, Essex Junction, VT 05452, USA 3 Renewable NRG Systems, Hinesburg, VT 05461, USA
* Author to whom correspondence should be addressed.
Received: 22 November 2013 / Revised: 6 January 2014 / Accepted: 8 January 2014 / Published: 14 January 2014
(This article belongs to the Section Physical Sensors)
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Abstract

In recent years, acoustic emission (AE) sensors and AE-based techniques have been developed and tested for gearbox fault diagnosis. In general, AE-based techniques require much higher sampling rates than vibration analysis-based techniques for gearbox fault diagnosis. Therefore, it is questionable whether an AE-based technique would give a better or at least the same performance as the vibration analysis-based techniques using the same sampling rate. To answer the question, this paper presents a comparative study for gearbox tooth damage level diagnostics using AE and vibration measurements, the first known attempt to compare the gearbox fault diagnostic performance of AE- and vibration analysis-based approaches using the same sampling rate. Partial tooth cut faults are seeded in a gearbox test rig and experimentally tested in a laboratory. Results have shown that the AE-based approach has the potential to differentiate gear tooth damage levels in comparison with the vibration-based approach. While vibration signals are easily affected by mechanical resonance, the AE signals show more stable performance.
Keywords: gearbox faults; diagnostics; acoustic emission sensor; vibration sensor gearbox faults; diagnostics; acoustic emission sensor; vibration sensor
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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Qu, Y.; He, D.; Yoon, J.; Van Hecke, B.; Bechhoefer, E.; Zhu, J. Gearbox Tooth Cut Fault Diagnostics Using Acoustic Emission and Vibration Sensors — A Comparative Study. Sensors 2014, 14, 1372-1393.

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