Bearing signal separation of commercial helicopter main gearbox
Date published
2017-03-02
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Supervisor/s
Journal Title
Journal ISSN
Volume Title
Publisher
Elsevier
Department
Type
Article
ISSN
2212-8271
Format
Citation
Faris Elasha, Matthew Greaves, David Mba, Bearing Signal Separation of Commercial Helicopter Main Gearbox, Procedia CIRP, Volume 59, 2017, pp111-115
Abstract
Gears are significant component in a multiplicity of industrial applications such as machine tool and gearboxes. An unforeseen failure of gear may result in significant economic losses. Therefore this research propose fault detection improvement throught series of vibration signal processing techuiques. These techniques have been tested experimentally using vibration data collected from the transmission system of a CS-29 ‘Category A’ helicopter gearbox under different bearing damage severity of the second planetary stage. Results showed successful improvement of bearing fault detection.
Description
Software Description
Software Language
Github
Keywords
Helicopters, Gearboxes, Vibration, Diagnosis
DOI
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