Vibration and Acoustics Emissions Analysis of Helicopter Gearbox, A Comprative Study

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.

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