Condition-Based Maintenance Optimisation for Queensland’s Railways. Rail maintainers currently use time-based (scheduled) approaches to balance the costs and benefits of inspections and maintenance. Changing to condition-based maintenance has the potential to reduce costs and improve track condition. This project aims to enable this approach for rail by developing: 1) new track degradation prediction techniques combining Big Data and engineering knowledge; 2) new on-board sensing capabilities fo ....Condition-Based Maintenance Optimisation for Queensland’s Railways. Rail maintainers currently use time-based (scheduled) approaches to balance the costs and benefits of inspections and maintenance. Changing to condition-based maintenance has the potential to reduce costs and improve track condition. This project aims to enable this approach for rail by developing: 1) new track degradation prediction techniques combining Big Data and engineering knowledge; 2) new on-board sensing capabilities for frequent, low-cost track monitoring; 3) novel inspection and maintenance optimisation methods to efficiently allocate resources. The knowledge generated by this project is expected to decrease maintenance costs, safety risk, and track closures and therefore enhance the affordability and reliability of rail travel.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
Comfort and ergonomics: Innovative seating solutions for commercial vehicles. Comfort and ergonomics: Innovative seating solutions for commercial vehicles. This project aims to develop a 6-degree-of-freedom seating system for commercial vehicles, including heavy duty trucks and mobile machinery, to reduce unwanted multiple directional vibrations to the driver’s body. Long-term exposure to vibrations from uneven road surfaces, vibrating tools, and vibrating machinery affects driver comfort, fatig ....Comfort and ergonomics: Innovative seating solutions for commercial vehicles. Comfort and ergonomics: Innovative seating solutions for commercial vehicles. This project aims to develop a 6-degree-of-freedom seating system for commercial vehicles, including heavy duty trucks and mobile machinery, to reduce unwanted multiple directional vibrations to the driver’s body. Long-term exposure to vibrations from uneven road surfaces, vibrating tools, and vibrating machinery affects driver comfort, fatigue and safety, and can also cause neck and shoulder pain, lower back injuries, and spinal injuries. The expected outcome of the project is a comfortable and ergonomic seating system that, agriculture, transportation, mining and construction vehicles, both in Australia and internationally, can widely use.Read moreRead less
Novel vibro-acoustic technologies for detecting bearing and wheel defects in rail vehicles. Research will be conducted to provide the basis for the development of a novel automatic system that detects bearing and wheel defects in under-way railway wagons, thus helping to prevent catastrophic derailments and minimise fuel consumption. It will also maintain Australian industry at the forefront of the global track-side monitoring industry.
Innovative metamaterial magnetorheological technology for mining machines. Hard-rock mining machines have been identified as the next generation mining technology, which will finally replace the traditional drill and blast method to increase productivity and mitigate dangerous working conditions. This project aims to develop innovative metamaterial magnetorheological elastomer joints for a typical hard-rock mining machine to improve the mining efficiency by reducing the vibration. The findings a ....Innovative metamaterial magnetorheological technology for mining machines. Hard-rock mining machines have been identified as the next generation mining technology, which will finally replace the traditional drill and blast method to increase productivity and mitigate dangerous working conditions. This project aims to develop innovative metamaterial magnetorheological elastomer joints for a typical hard-rock mining machine to improve the mining efficiency by reducing the vibration. The findings and outcomes of this research will advance the knowledge and practice of hard-rock mining machines in Australia. The success of this project will significantly increase mining productivity and reduce human injuryRead moreRead less
Innovative Magnetorheological Suspension Systems for Forklift Trucks. This project aims to improve forklift design to reduce the vibration experienced by forklift drivers. Research consistently links forklift driving with a high incidence of back pain and musculoskeletal injuries through exposure to hand, arm and whole-body vibrations that are caused by the rigid passive suspension in traditional forklifts, which cannot properly absorb vibration stemming from deviations in driving surfaces, chan ....Innovative Magnetorheological Suspension Systems for Forklift Trucks. This project aims to improve forklift design to reduce the vibration experienced by forklift drivers. Research consistently links forklift driving with a high incidence of back pain and musculoskeletal injuries through exposure to hand, arm and whole-body vibrations that are caused by the rigid passive suspension in traditional forklifts, which cannot properly absorb vibration stemming from deviations in driving surfaces, changes in mass, or common loading, lifting and unloading actions. The project aims to draw on the research team’s expertise in magnetorheological technology to develop and evaluate a new tuneable integrated semi-active wheel and chassis and seat suspension system that can vary damping and stiffness to control mass uncertainty and vibration.Read moreRead less
High performance electromagnetic airborne mineral exploration for discovery of deep earth resources. Airborne mineral exploration underpins Australia’s mining industry. Sensing systems are particularly effective for discovering nickel ore and water bodies but salty soil often blocks signals. This project uses a patented breakthrough in vibration isolation to create instruments able to detect minerals 50 per cent to 100 per cent deeper than normal.
Improving airborne electromagnetic surveying for minerals and groundwater. Groundwater is vital in many parts of Australia due to low surface water availability while much of Australia’s mineral wealth is obscured by conductive cover. Airborne surveys are key to mapping minerals and water over large areas. This project aims to enhance the resolution of airborne electromagnetic surveying technology by developing advanced new aircraft transmitters and receivers. The project expects to enable compl ....Improving airborne electromagnetic surveying for minerals and groundwater. Groundwater is vital in many parts of Australia due to low surface water availability while much of Australia’s mineral wealth is obscured by conductive cover. Airborne surveys are key to mapping minerals and water over large areas. This project aims to enhance the resolution of airborne electromagnetic surveying technology by developing advanced new aircraft transmitters and receivers. The project expects to enable complex groundwater structures to be mapped more accurately and increase the depth to which conductive ore bodies can be detected. Expected outcomes include the discovery of new economic mineral and water resources. This should provide significant benefits to the mining and agricultural industries.Read moreRead less
Advanced gravity and electromagnetic methods for uncovering the deep Earth. Advanced gravity and electromagnetic methods for uncovering the deep Earth. This project aims to improve the sensitivity of airborne gravity gradiometers and electromagnetic sensors so airborne surveys can detect underground structures at greater depths. Aircraft motion and turbulence limit the effectiveness of existing instruments. Advanced vibration isolation and noise reduction algorithms will allow instruments to ima ....Advanced gravity and electromagnetic methods for uncovering the deep Earth. Advanced gravity and electromagnetic methods for uncovering the deep Earth. This project aims to improve the sensitivity of airborne gravity gradiometers and electromagnetic sensors so airborne surveys can detect underground structures at greater depths. Aircraft motion and turbulence limit the effectiveness of existing instruments. Advanced vibration isolation and noise reduction algorithms will allow instruments to image to significantly greater depths, to map geology more accurately. This is expected to contribute to the discovery of new economic mineral and hydrocarbon resources.Read moreRead less
Advanced signal processing techniques to improve prognostic models for rolling element bearings. Novel signal processing techniques for predicting the development of faults in rolling element bearings will be developed and employed in a statistical prognostic model. This will greatly improve the economics of operation of many different machines, including helicopters and other aircraft, mining machinery, and wind turbines.