Abstract
Acoustics Emissions (AE) technology has emerged as a promising diagnostic approach. AE was originally developed for non-destructive testing of static structures, however, in recent times its application has been extended to health monitoring of rotating machines. This paper introduces a novel method for application of AE in monitoring of helicopter gearboxes. In addition this paper investigates the application of signal separation techniques in detection of bearing faults within the epicyclic module of a large helicopter (CS-29) main gearbox using Acoustic Emissions (AE). The results showed successful of AE in detection bearing fault within the helicopter gearbox. Detection of the small bearing defect gives the AE an indisputable diagnosis advantage and prove ability of application of AE in helicopter gearboxes.
Publisher statement: This paper is available under a Creative Commons Attribution-NonCommercial-NoDerivatives license (CC-BY-NC-ND). For full license conditions see http://creativecommons.org/licenses/by-nc-nd/4.0/ .
Original language | English |
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Pages (from-to) | 30-36 |
Journal | Procedia CIRP |
Volume | 38 |
DOIs | |
Publication status | Published - 2015 |
Bibliographical note
This paper is available under a Creative Commons Attribution-NonCommercial-NoDerivatives license (CC-BY-NC-ND). For full license conditions see http://creativecommons.org/licenses/by-nc-nd/4.0/ .Keywords
- Condition Monitoring
- Helicopters
- Gearbox
- Fault Diagnosis
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Faris Elasha
- School of Mechanical Engineering - Assistant Professor Academic
Person: Teaching and Research