Bearing Signal Separation Enhancement with Application to a Helicopter Transmission System
Publication: Journal of Aerospace Engineering
Volume 30, Issue 5
Abstract
Bearing vibration signal separation is essential for fault detection of gearboxes, especially where the vibration is nonstationary, susceptible to background noise, and subjected to an arduous transmission path from the source to the receiver. This paper presents a methodology for improving fault detection via a series of vibration signal processing techniques, including signal separation, synchronous averaging (SA), spectral kurtosis (SK), and envelope analysis. These techniques have been tested on experimentally obtained vibration data acquired from the transmission system of a CS-29 Category A helicopter gearbox operating under different bearing damage conditions. Results showed successful enhancement of bearing fault detection on the second planetary stage of the gearbox
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Acknowledgments
This research was conducted as part of european aviation safety agency (EASA) study 2015.OP.13 into improved detection techniques for helicopter main gearbox defects.
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Published In
Journal of Aerospace Engineering
Volume 30 • Issue 5 • September 2017
Copyright
©2017 American Society of Civil Engineers.
History
Received: Jun 24, 2016
Accepted: May 10, 2017
Published online: Jun 30, 2017
Published in print: Sep 1, 2017
Discussion open until: Nov 30, 2017
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