Quantifying the impact of wind farm noise on rural communities. This project is directed at quantifying the level and character of wind farm noise experienced by rural communities, to gain an understanding of the likelihood of the emitted sound causing the medical symptoms experienced by these communities. The outcome will be an accurate prediction model that covers infrasound, the audio range and modulation.
Cepstral methods of operational modal analysis to separate multiple sources. This project aims to develop new methods of operational modal analysis in situations with multiple complex sources, such as rotating machines. The project will obtain scaled mode shapes as well as separated scaled sources. One of the main applications will be to improve the prognostics of machines by having separated scaled estimates of the forcing functions to make it easier to find fault parameters which trend monoton ....Cepstral methods of operational modal analysis to separate multiple sources. This project aims to develop new methods of operational modal analysis in situations with multiple complex sources, such as rotating machines. The project will obtain scaled mode shapes as well as separated scaled sources. One of the main applications will be to improve the prognostics of machines by having separated scaled estimates of the forcing functions to make it easier to find fault parameters which trend monotonically towards failure, and thus greatly improve the estimates of remaining useful equipment life. An additional benefit of the application will be the ability to predict overall noise radiation from a machine or object if both the sources and modal models are scaled.Read moreRead less
Resolving the mechanics of wind turbine noise production. This project will investigate how wind turbines produce noise. It will do this by developing the most sophisticated wind turbine noise experiment in the world, which will allow the construction of better designed wind farms, better public policy and new noise control technologies.
A hybrid system framework for robust model predictive control. This project will produce new analysis and design tools to develop novel hybrid model predictive control systems with guaranteed stability, robustness and fault tolerance. We foresee major benefits for Australia by enhancing its scientific reputation and by promoting safety, efficiency and technological innovation in industries and services.
Enabling ambient intelligence for manufacturing processes through distributed camera networks. This project will develop methods to optimise and schedule networks of smart and traditional cameras in a manufacturing environment, enabling knowledge capture, manage performance and identify causes of quality degradation. This research will assist Australian manufacturers to stay competitive in the dynamic global market.
Machine Learning and Shape Optimisation of Fluid-Structure Interactions. This project aims to address vibrations of solid structures by utilising a combination of advanced experimental and computational methods. This project expects to generate new knowledge in the area of flow-induced vibrations utilising the new techniques of machine learning and evolutionary shape optimisation. Expected outcomes of this project include greatly accelerated discovery of mechanisms leading to structural vibratio ....Machine Learning and Shape Optimisation of Fluid-Structure Interactions. This project aims to address vibrations of solid structures by utilising a combination of advanced experimental and computational methods. This project expects to generate new knowledge in the area of flow-induced vibrations utilising the new techniques of machine learning and evolutionary shape optimisation. Expected outcomes of this project include greatly accelerated discovery of mechanisms leading to structural vibrations and optimising structure geometries to either enhance or suppress the vibrations. This should provide significant benefits, such as the design strategies for improved energy harvesters, such as current oscillators, or more stable structures, such as platforms for offshore wind turbines.
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Improved design and operational efficiency of small wind turbines in unsteady flows. The purpose of this research is to improve the design and performance of small wind turbines for energy generation. The expected outcomes are novel control strategies and mechanical designs that account for unsteady aerodynamics and its effects on structural loads and power quality. Recommendations to improve current design standards will be made.
Airfoil Noise Control in Complex Turbulence. This project aims to understand how to control noise created by the interaction of airfoils with complex, real-world turbulence. This project is significant because it will develop novel serrated and porous leading edges tailored for complex turbulence for the first time. Using innovative experimental and theoretical techniques, the project will dramatically advance the science of aeroacoustics. The expected outcomes of the project will be substantial ....Airfoil Noise Control in Complex Turbulence. This project aims to understand how to control noise created by the interaction of airfoils with complex, real-world turbulence. This project is significant because it will develop novel serrated and porous leading edges tailored for complex turbulence for the first time. Using innovative experimental and theoretical techniques, the project will dramatically advance the science of aeroacoustics. The expected outcomes of the project will be substantial reductions in noise from aircraft, wind turbines, submarines and drones. This will provide significant benefits such as a reduction in environmental noise pollution, better public health and submarines with increased stealth.Read moreRead less
Dynamic model assisted fault diagnostics of wind turbine gearbox. This project aims to develop novel condition monitoring methodologies for the gearbox of large horizontal-axis wind turbines which are widely installed in wind farms for generating renewable energy. This project expects to generate a new diagnostic framework by integrating dynamic model assisted simulations and digital twin-based approaches. Expected outcomes of this project include new vibration-based methods for fault diagnostic ....Dynamic model assisted fault diagnostics of wind turbine gearbox. This project aims to develop novel condition monitoring methodologies for the gearbox of large horizontal-axis wind turbines which are widely installed in wind farms for generating renewable energy. This project expects to generate a new diagnostic framework by integrating dynamic model assisted simulations and digital twin-based approaches. Expected outcomes of this project include new vibration-based methods for fault diagnostics and predictions of the remaining useful life of turbine gearboxes. This should provide significant benefits to the Australian Wind Industry by ensuring reliable operation of wind turbines, reducing turbine downtime and reducing operation and maintenance costs; ultimately lowering the cost of energy from wind.Read moreRead less
Understanding and predicting airfoil noise in real-world turbulence. This project aims to understand and predict the noise produced by turbulence interacting with an airfoil to advance the design of aeroengines, wind turbines, marine vessels, cooling fans and drones. A novel anechoic wind tunnel experiment is proposed to link complex turbulent in-flow with the behaviour of the flow as it interacts with the airfoil and the noise-producing physics. The intended outcomes of this project are new sem ....Understanding and predicting airfoil noise in real-world turbulence. This project aims to understand and predict the noise produced by turbulence interacting with an airfoil to advance the design of aeroengines, wind turbines, marine vessels, cooling fans and drones. A novel anechoic wind tunnel experiment is proposed to link complex turbulent in-flow with the behaviour of the flow as it interacts with the airfoil and the noise-producing physics. The intended outcomes of this project are new semi-analytical noise prediction models and scientific knowledge that can be harnessed for practical noise control. Anticipated benefits include quiet aerospace, naval and renewable energy technologies, reduced environmental noise pollution and better quality of life.Read moreRead less