Next Article in Journal
Previous Article in Journal
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
Received: 22 November 2013; in revised form: 6 January 2014 / Accepted: 8 January 2014 / Published: 14 January 2014
(This article belongs to the Section Physical Sensors)
View Full-Text   |   Download PDF [871 KB, uploaded 21 June 2014]
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 which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Export to BibTeX |
EndNote


MDPI and ACS Style

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.

AMA Style

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(1):1372-1393.

Chicago/Turabian Style

Qu, Yongzhi; He, David; Yoon, Jae; Van Hecke, Brandon; Bechhoefer, Eric; Zhu, Junda. 2014. "Gearbox Tooth Cut Fault Diagnostics Using Acoustic Emission and Vibration Sensors — A Comparative Study." Sensors 14, no. 1: 1372-1393.


Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert