Vibration-based health monitoring of aero-engine bearings . This project will develop new vibration-based techniques to greatly improve the detection and diagnosis of faults in aero engine bearings from in-flight measurements. To achieve this goal, advances will be made on source separation algorithms to extract the weak bearing signals, and signal processing techniques to extract features for diagnosing bearing fault severity and lubrication conditions, under a wide range of operating condition ....Vibration-based health monitoring of aero-engine bearings . This project will develop new vibration-based techniques to greatly improve the detection and diagnosis of faults in aero engine bearings from in-flight measurements. To achieve this goal, advances will be made on source separation algorithms to extract the weak bearing signals, and signal processing techniques to extract features for diagnosing bearing fault severity and lubrication conditions, under a wide range of operating conditions. A bearing degradation model will estimate the remaining useful life. Since rolling element bearings are among the most critical components in most machines, the results of this research will also provide massive benefits in other sectors such as mining, transportation, energy production and manufacturing.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE240100933
Funder
Australian Research Council
Funding Amount
$458,183.00
Summary
Noise-reduction mechanisms in jet engines: chevrons are the answer. This project aims to develop new models to study the influence of chevrons on the exhaust of aircraft engines, which is one of the strongest sound sources during take-off. As constant exposure to high-amplitude noise in areas close to airports leads to a myriad of health problems, new strategies have been sought to mitigate this noise component. Chevrons may modify the dynamics of the noise-generating coherent structures, but mo ....Noise-reduction mechanisms in jet engines: chevrons are the answer. This project aims to develop new models to study the influence of chevrons on the exhaust of aircraft engines, which is one of the strongest sound sources during take-off. As constant exposure to high-amplitude noise in areas close to airports leads to a myriad of health problems, new strategies have been sought to mitigate this noise component. Chevrons may modify the dynamics of the noise-generating coherent structures, but most of their parameters are chosen by trial and error, and the mechanism that maximises noise reduction is not clear. By understanding the underlying noise-reduction mechanisms, this project will facilitate the optimal design of quieter exhaust nozzles, ameliorating the effect of aircraft noise on the local community.Read moreRead less