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.
Nonlinear frequency mixing methods for materials and damage evaluation. This project aims to investigate new approaches for frequency mixing in nonlinear ultrasonics, and to demonstrate their potential for the non-destructive evaluation of material degradation and early damage detection. The anticipated outcomes will be increased detection sensitivity relative to current inspection techniques and an enhanced capability for quantifying the damage. This will provide the basis for more cost efficie ....Nonlinear frequency mixing methods for materials and damage evaluation. This project aims to investigate new approaches for frequency mixing in nonlinear ultrasonics, and to demonstrate their potential for the non-destructive evaluation of material degradation and early damage detection. The anticipated outcomes will be increased detection sensitivity relative to current inspection techniques and an enhanced capability for quantifying the damage. This will provide the basis for more cost efficient safety management of high-value assets and infrastructure, and for enhancing Australia’s competitiveness in advanced manufacturing.Read moreRead less
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
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE180100041
Funder
Australian Research Council
Funding Amount
$680,320.00
Summary
National laser-based non-destructive evaluation system. This project aims to establish the first Australian national facility for non-destructive evaluation, consisting of a three-dimensional scanning laser vibrometer, laser shearography, and an optical de-rotator, to enable full-field characterisation of the deformation and damage state of materials and structures. This solution is expected to perform rapid, broad-area scans, characterise dynamic response and wave propagation in human-engineere ....National laser-based non-destructive evaluation system. This project aims to establish the first Australian national facility for non-destructive evaluation, consisting of a three-dimensional scanning laser vibrometer, laser shearography, and an optical de-rotator, to enable full-field characterisation of the deformation and damage state of materials and structures. This solution is expected to perform rapid, broad-area scans, characterise dynamic response and wave propagation in human-engineered or natural structures, and diagnose rotating systems. This will enhance experimental capabilities, with uses spanning many industry sectors including aerospace, naval, automotive and medical.Read moreRead less
When every second counts: Multi-drone navigation in GPS-denied environments. The aim of this research is to develop a framework for multiple Unmanned Aerial Vehicles (UAV), that balances information sharing, exploration, localization, mapping, and other planning objectives thus allowing a team of UAVs to navigate in complex environments in time critical situations. This project expects to generate new knowledge in UAV navigation using an innovative approach by combining Simultaneous Localizatio ....When every second counts: Multi-drone navigation in GPS-denied environments. The aim of this research is to develop a framework for multiple Unmanned Aerial Vehicles (UAV), that balances information sharing, exploration, localization, mapping, and other planning objectives thus allowing a team of UAVs to navigate in complex environments in time critical situations. This project expects to generate new knowledge in UAV navigation using an innovative approach by combining Simultaneous Localization and Mapping (SLAM) algorithms with Partially Observable Markov Decision Processes (POMDP) and Deep Reinforcement learning. This should provide significant benefits, such as more responsive search and rescue inside collapsed buildings or underground mines, as well as fast target detection and mapping under the tree canopy. Read moreRead less
Protecting Critical Transport Infrastructure using Hybrid Approaches for Interference and Spoofer Detection and Localisation. Modern infrastructure increasingly relies on the positioning and timing capabilities provided by the Global Navigation Satellite Systems (GNSS). GNSS signals, however, are vulnerable to interference and spoofing attacks. This vulnerability is aggravated as satellite navigation becomes more central to the operation of airports, ports, railways, and communications systems. ....Protecting Critical Transport Infrastructure using Hybrid Approaches for Interference and Spoofer Detection and Localisation. Modern infrastructure increasingly relies on the positioning and timing capabilities provided by the Global Navigation Satellite Systems (GNSS). GNSS signals, however, are vulnerable to interference and spoofing attacks. This vulnerability is aggravated as satellite navigation becomes more central to the operation of airports, ports, railways, and communications systems. Building on from earlier work by University of New South Wales, University of Adelaide and GPSat Systems, this project aims to create a system for locating interference and spoofers to GNSS of any power in real time, providing layered monitoring and reactive mitigation solutions against interference and spoofing attacks.Read moreRead less
Difficulties of monitoring for rare events. This project aims to identify cognitive and neural processes involved in sustaining attention to moving displays under monitoring conditions.People are poor at monitoring for rare events: they tend to miss infrequent targets. This is a problem in automated systems for transport, rail and air traffic control. If a computer error occurs, the operator needs to intervene quickly. This project will develop a tool for studying monitoring and determine patter ....Difficulties of monitoring for rare events. This project aims to identify cognitive and neural processes involved in sustaining attention to moving displays under monitoring conditions.People are poor at monitoring for rare events: they tend to miss infrequent targets. This is a problem in automated systems for transport, rail and air traffic control. If a computer error occurs, the operator needs to intervene quickly. This project will develop a tool for studying monitoring and determine patterns of brain activity that predict a lapse of attention. The results should contribute to theories of vigilance and improve performance in real-world monitoring situations.Read moreRead less
Improving performance in high risk environments using guided distraction and iconic cues. This project tests a novel strategy to assist operators in high-risk automated environments, in order to maintain their performance in low workload situations. Using guided distraction, this project will be able to show improvements in attention to critical tasks and in overall system performance, thereby reducing the potential for error.
Predicting misdiagnoses in the transition from competence to expertise. This project aims to test whether the utilisation of cues predicts vulnerability to misdiagnosis during skill acquisition. This project uses newly developed measures of cue utilisation, together with innovative, on-line scenarios and a longitudinal design, to measure different types of misdiagnosis amongst qualified radiologists, pathologists and pilots as they acquire expertise. With potential applications in medicine, avia ....Predicting misdiagnoses in the transition from competence to expertise. This project aims to test whether the utilisation of cues predicts vulnerability to misdiagnosis during skill acquisition. This project uses newly developed measures of cue utilisation, together with innovative, on-line scenarios and a longitudinal design, to measure different types of misdiagnosis amongst qualified radiologists, pathologists and pilots as they acquire expertise. With potential applications in medicine, aviation, energy, transportation, and defence, the expected outcomes will facilitate interventions such as targeted training and the provision of technical support, that will guide the diagnostic process and thereby reduce the impact of misdiagnoses on individuals and infrastructure.Read moreRead less
The future of aircraft maintenance in Australia: workforce capability, aviation safety and industry development. This research will analyse sources of skill shortage in Australia's aircraft maintenance industry and identify the safety risks of sending maintenance work offshore. It will compare these risks with the costs and benefits of building aircraft maintenance skills and careers, and enhancing their contribution to national technological development.