Bearing Signal Separation Enhancement with Application to a Helicopter Transmission System

Elasha, Faris; David, Éric; Greaves, Matthew

doi:10.1061/(asce)as.1943-5525.0000744

Cited by 3 publications

(1 citation statement)

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“…This concept is based on the Wold Theorem, in which the signal can be decomposed into deterministic and non-deterministic parts. 36 It has been applied to signal processing in telecommunication 35 and electrocardiogram (ECG) signal processing. 37 The separation is based on the fact that the deterministic part has a longer correlation than the random part; therefore, the autocorrelation is used to distinguish the deterministic part from the random part.…”

Section: Planetary Gearbox Diagnosticsmentioning

confidence: 99%

Planetary bearing defect detection in a commercial helicopter main gearbox with vibration and acoustic emission

Elasha

Greaves

Mba

2018

Structural Health Monitoring

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Helicopter gearboxes significantly differ from other transmission types and exhibit unique behaviours that reduce the effectiveness of traditional fault diagnostics methods. In addition, due to lack of redundancy, helicopter transmission failure can lead to catastrophic accidents. Bearing faults in helicopter gearboxes are difficult to discriminate due to the low signal-to-noise ratio in the presence of gear vibration. In addition, the vibration response from the planet gear bearings must be transmitted via a time-varying path through the ring gear to externally mounted accelerometers, which cause yet further bearing vibration signal suppression. This research programme has resulted in the successful proof of concept of a broadband wireless transmission sensor that incorporates power scavenging while operating within a helicopter gearbox. In addition, this article 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. It compares their effectiveness for various operating conditions. Three signal processing techniques, including an adaptive filter, spectral kurtosis and envelope analysis, were combined for this investigation. In addition, this research discusses the feasibility of using acoustic emission for helicopter gearbox monitoring.

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Section: Planetary Gearbox Diagnosticsmentioning

confidence: 99%