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Socio-Economic Objective : Air Force
Research Topic : MODELLING
Field of Research : Mechanical Engineering
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  • Active Funded Activity

    Discovery Projects - Grant ID: DP200102300

    Funder
    Australian Research Council
    Funding Amount
    $450,000.00
    Summary
    Theory and methods for evaluation of microstructural fatigue damage. The microstructural damage accumulation stage often consumes a significant portion of the total fatigue life of structures. However, its progressive evaluation is beyond the reach of safety inspection techniques which are currently employed to maintain structural integrity and prevent fatigue failures. This project aims to fill this gap by developing innovative methods for the measurement of material properties related to fatig .... Theory and methods for evaluation of microstructural fatigue damage. The microstructural damage accumulation stage often consumes a significant portion of the total fatigue life of structures. However, its progressive evaluation is beyond the reach of safety inspection techniques which are currently employed to maintain structural integrity and prevent fatigue failures. This project aims to fill this gap by developing innovative methods for the measurement of material properties related to fatigue damage and establishing a new theory which links these properties to the remaining life of the structure. The project outcomes will facilitate the global trend towards predictive maintenance strategies, thereby generating substantial cost benefits, specifically, for high-value assets and ageing infrastructure.
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    Active Funded Activity

    Linkage Projects - Grant ID: LP180101161

    Funder
    Australian Research Council
    Funding Amount
    $194,546.00
    Summary
    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.
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