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
Discovery Early Career Researcher Award - Grant ID: DE120102873
Funder
Australian Research Council
Funding Amount
$375,000.00
Summary
Securing networked control and estimation systems and safeguarding critical infrastructure. The purpose of this project is to reduce the likelihood of success, and the severity of impact, of a cyber-attack against networked control and estimation systems operating within critical infrastructure. The outcome will be a suite of algorithms, tools and design considerations for networked, industrial, control systems that satisfy this purpose.
Spatially distributed complex multiagent systems. This project will develop design methodologies for two related classes of technological systems: wireless sensor networks (in particular mobile sensor networks) and formations of mobile robotic agents. These technologies find application today in defence, and will probably become pervasive in the civilian sector.
Industrial Transformation Training Centres - Grant ID: IC140100003
Funder
Australian Research Council
Funding Amount
$2,389,935.00
Summary
The ARC Research Training Centre for Naval Design and Manufacturing. ARC Training Centre for Transforming Australia's Naval Manufacturing Industry. The aim of the Training Centre is to transform the Australian naval manufacturing industry by creating a new cohort of industry-focused, high-level and broadly skilled engineers and researchers. The resulting network of engineering researchers will enable the industry to more rapidly innovate and solve key problems concerning the efficient design, co ....The ARC Research Training Centre for Naval Design and Manufacturing. ARC Training Centre for Transforming Australia's Naval Manufacturing Industry. The aim of the Training Centre is to transform the Australian naval manufacturing industry by creating a new cohort of industry-focused, high-level and broadly skilled engineers and researchers. The resulting network of engineering researchers will enable the industry to more rapidly innovate and solve key problems concerning the efficient design, construction and sustainment of naval platforms. This industrial transformation will bring significant benefits to Australia as it commences a very ambitious shipbuilding program comprising the design and manufacture of new fleets of submarines, future frigates and patrol boats. The success of these major projects is reliant on developing this cohort of researchers to solve the key research questions.Read moreRead less
Biologically-inspired detection, pursuit and interception of moving objects by unmanned aircraft systems. Although it is well known that aggressive honeybees are very effective at detecting, pursuing and intercepting moving targets, this behaviour has never been studied quantitatively. This project will use high-speed video cinematography to investigate this behaviour, to develop visual algorithms for the detection of moving targets, and to create dynamical models of the mechanisms that control ....Biologically-inspired detection, pursuit and interception of moving objects by unmanned aircraft systems. Although it is well known that aggressive honeybees are very effective at detecting, pursuing and intercepting moving targets, this behaviour has never been studied quantitatively. This project will use high-speed video cinematography to investigate this behaviour, to develop visual algorithms for the detection of moving targets, and to create dynamical models of the mechanisms that control pursuit. The resulting algorithms will be incorporated into unmanned aerial vehicles for detecting, monitoring and tracking other objects in the sky, and their performance will be evaluated. The results will provide a better understanding of the biological basis of pursuit behaviour, as well as lead to novel technologies for aerial surveillance and safety.Read moreRead less
Efficient strategies for visually guided flight: from insects to drones. Flying in real environments, that are densely cluttered with obstacles, is a major challenge limiting the proliferation of aerial robotic technology yet flying insects such as honeybees accomplish this task with ease. This project will seek to uncover the salient vision-based flight-control strategies implemented by insects to deal with clutter. These will be used to develop sensory and information processing frameworks for ....Efficient strategies for visually guided flight: from insects to drones. Flying in real environments, that are densely cluttered with obstacles, is a major challenge limiting the proliferation of aerial robotic technology yet flying insects such as honeybees accomplish this task with ease. This project will seek to uncover the salient vision-based flight-control strategies implemented by insects to deal with clutter. These will be used to develop sensory and information processing frameworks for implementation in miniature robotic systems which will allow them to navigate autonomously in complex environments even when GPS positioning is denied. Such capabilities will expand the operational domain and potential applications for small autonomous vehicles while improving our knowledge of insect locomotion.Read moreRead less
Strategies for mid-air collision avoidance in aircraft: lessons from bird flight. Birds seldom collide with each other and other objects, despite the high speeds at which they fly in complex environments. This project will examine how birds sense and avoid impending collisions, and will use these results to design novel strategies for the detection and avoidance of aircraft mid-air collisions.
Dominant flow noise source identification for ducted marine propellers. Ducted marine propellers are becoming an increasing alternative to conventional open propellers. Understanding flow-induced noise generated by ducted propellers is a key consideration in the design process to minimise noise emission. This project aims to develop new methods to identify turbulent flow sources of a ducted marine propeller that dominate sound. High-fidelity numerical methods will be developed to study the compl ....Dominant flow noise source identification for ducted marine propellers. Ducted marine propellers are becoming an increasing alternative to conventional open propellers. Understanding flow-induced noise generated by ducted propellers is a key consideration in the design process to minimise noise emission. This project aims to develop new methods to identify turbulent flow sources of a ducted marine propeller that dominate sound. High-fidelity numerical methods will be developed to study the complex interaction between inflow turbulence, support struts, propeller blades and duct structure. Successful identification of the dominant sources of noise will allow for targeted noise mitigation strategies with significant impact for stealth of military vessels and reduction of underwater noise pollution on marine life.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE190101412
Funder
Australian Research Council
Funding Amount
$338,858.00
Summary
Efficient prediction of flow-induced noise for marine vessels. This project aims to develop efficient and novel numerical methods in hydroacoustics for comparative studies of design modifications and operating conditions on noise generated by turbulent flow around marine vessels. Flow induced noise generated by marine vessels presents unique challenges for noise prediction methods which often results in vessels that do not meet their design specifications. The expected outcome is to provide effi ....Efficient prediction of flow-induced noise for marine vessels. This project aims to develop efficient and novel numerical methods in hydroacoustics for comparative studies of design modifications and operating conditions on noise generated by turbulent flow around marine vessels. Flow induced noise generated by marine vessels presents unique challenges for noise prediction methods which often results in vessels that do not meet their design specifications. The expected outcome is to provide efficient numerical capabilities that can play a role towards the design of quieter marine vessels to increase the stealth of Australia’s navy. This project will provide significant benefit to Australia’s maritime platforms and future submarine program. Environmental benefits include a reduction of anthropogenic underwater noise pollution from marine vessels, which is critical for the welfare of marine life.Read moreRead less
Prediction of radiated noise from marine propellers. Underwater noise radiated from marine vessels is a significant problem for research, fishing and military vessels, and is a major source of pollution in the marine environment. The major source contributing to underwater noise is due to the propeller. This work will develop numerical models with experimental validation that can accurately predict the sources of noise generated by marine propellers and acoustic signatures of marine vessels due ....Prediction of radiated noise from marine propellers. Underwater noise radiated from marine vessels is a significant problem for research, fishing and military vessels, and is a major source of pollution in the marine environment. The major source contributing to underwater noise is due to the propeller. This work will develop numerical models with experimental validation that can accurately predict the sources of noise generated by marine propellers and acoustic signatures of marine vessels due to propeller motion. This work has great significance for Australia’s construction and military maritime industries. The technologies developed in this project are also applicable to rotors in other industries such as in aircraft, helicopters and wind turbines.Read moreRead less