Abstract
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 vibration and Acoustic Emissions (AE). It compares their effectiveness for various operating conditions. Three signal processing techniques including an adaptive filter, spectral kurtosis and envelope analysis, were investigated. In addition, this research discusses the feasibility of using AE in helicopter gearbox monitoring.
| Original language | English |
|---|---|
| Title of host publication | Current Trends in Reliability, Availability, Maintainability and Safety |
| Editors | Uday Kumar, Alireza Ahmadi, Ajit Kumar Verma, Prabhakar Varde |
| Publisher | Springer |
| Pages | 125-139 |
| Number of pages | 15 |
| ISBN (Electronic) | 978-3-319-23596-7 |
| ISBN (Print) | 978-3-319-23597-4 |
| DOIs | |
| Publication status | Published - 15 Dec 2015 |
Bibliographical note
There is no full text available due to publisher policy.Keywords
- Vibration
- Acoustics emission
- Helicopter gearbox
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Elasha, F., & Mba, D. (2015). Vibration and Acoustics Emissions Analysis of Helicopter Gearbox, A Comparative Study. In U. Kumar, A. Ahmadi, A. K. Verma, & P. Varde (Eds.), Current Trends in Reliability, Availability, Maintainability and Safety (pp. 125-139). Springer. https://doi.org/10.1007/978-3-319-23597-4_10