Bearing signal separation of commercial helicopter main gearbox
Date
2017-03-02
Supervisor/s
Journal Title
Journal ISSN
Volume Title
Publisher
Elsevier
Department
Type
Article
ISSN
2212-8271
Format
Free to read from
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
Rights
Attribution-Non-Commercial-No Derivatives 4.0 (CC BY-NC-ND 4.0).
You are free to:
Share — copy and redistribute the material in any medium or format.
The licensor cannot revoke these freedoms as long as you follow the license terms.
Under the following terms:
Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
Information:
Non-Commercial — You may not use the material for commercial purposes.
No Derivatives — If you remix, transform, or build upon the material, you may not distribute the modified material.
No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.