Application of artificial neural network in flood emergency decision support system. This project will develop a method for rapid estimation of flood water levels. This will increase the warning time for flood evacuation in small coastal catchments where traditional estimating techniques are too time-consuming.
Artificial Intelligence Based Deterioration Model for Development of Bridge Network Maintenance Strategy. The proposed AI-based methodology in conjunction with a Bridge Management System can tailor-make bridge deterioration models for a given bridge authority. The models so produced will enable effective BMS implementation which generates missing inspection records of past years, establishes optimal MR&R strategies and then reliably forecasts future bridge condition ratings. The methodology will ....Artificial Intelligence Based Deterioration Model for Development of Bridge Network Maintenance Strategy. The proposed AI-based methodology in conjunction with a Bridge Management System can tailor-make bridge deterioration models for a given bridge authority. The models so produced will enable effective BMS implementation which generates missing inspection records of past years, establishes optimal MR&R strategies and then reliably forecasts future bridge condition ratings. The methodology will be verified using available bridge datasets of QDMR and GCCC. The methodology is applicable to other bridge authorities throughout Australia and internationally to maintain ageing bridge stock. Read moreRead less
Design and Control of Sensorless, Brushless, Linear Permanent Magnet Motors for Fluid Pumping. Many machines require reciprocating motion and achieve it by mechanical conversion of rotary motion. In particular, pistons for liquid pumping and gas compression are usually driven by a crank on a rotary electric motor. Driving the piston directly by a linear motor eliminates the cost, weight, inefficiency and wear of the mechanical conversion. This project will design, construct and test high efficie ....Design and Control of Sensorless, Brushless, Linear Permanent Magnet Motors for Fluid Pumping. Many machines require reciprocating motion and achieve it by mechanical conversion of rotary motion. In particular, pistons for liquid pumping and gas compression are usually driven by a crank on a rotary electric motor. Driving the piston directly by a linear motor eliminates the cost, weight, inefficiency and wear of the mechanical conversion. This project will design, construct and test high efficiency, tubular, linear permanent magnet motors for fluid pumping. Further, an intelligent electronic controller will be developed to control the motor speed and reversals without sensors in the motor. Initial applications will be solar powered water pumping and purification.Read moreRead less
Development of Low Cost High Performance Motor Drives for Electrical Appliances using New Soft Magnetic Composite Materials. This project aims to break the major barrier to commercial production of efficient electrical appliances by developing low cost high performance motor drives using new soft magnetic composite materials. Initial applications will be swimming pool/spa pump drives. Optimum material composition, novel motor topologies, intelligent variable speed drive, and motor manufacturing ....Development of Low Cost High Performance Motor Drives for Electrical Appliances using New Soft Magnetic Composite Materials. This project aims to break the major barrier to commercial production of efficient electrical appliances by developing low cost high performance motor drives using new soft magnetic composite materials. Initial applications will be swimming pool/spa pump drives. Optimum material composition, novel motor topologies, intelligent variable speed drive, and motor manufacturing techniques using mould injection/compaction will be developed to reduce the production cost with improved performance in collaboration with Waterco. The new technology will contribute to reduction of greenhouse gas emission by reducing energy consumption of electrical appliances and once commercialised will greatly enhance the competitiveness of Australian industry in the world market.Read moreRead less
High Efficiency Low Cost Low Noise Variable Speed Compressor Drive for Refrigeration and Air Conditioning Systems. This project aims to break the major barriers to the commercial production of efficient refrigerators and air conditioners by developing a high efficiency low cost low noise variable speed compressor drive. High performance PM motors, power electronic fault tolerant converters/inverters, and intelligent algorithms for motor control and temperature control will be developed to meet ....High Efficiency Low Cost Low Noise Variable Speed Compressor Drive for Refrigeration and Air Conditioning Systems. This project aims to break the major barriers to the commercial production of efficient refrigerators and air conditioners by developing a high efficiency low cost low noise variable speed compressor drive. High performance PM motors, power electronic fault tolerant converters/inverters, and intelligent algorithms for motor control and temperature control will be developed to meet the specific requirements of compressor drives in collaboration with Kirby Refrigeration. The new technology will contribute to the reduction of CO2 greenhouse gas emission by reducing the energy consumption of refrigerators and air conditioners and once commercialised will greatly enhance the competitiveness of Australian industry in the world market.Read moreRead less
Artificial intelligent system for integrated wear debris analysis and vibration analysis in machine condition monitoring. Vibration and wear debris analyses are the two main condition monitoring techniques for machinery maintenance and fault diagnosis. However, they can diagnose less than 50% of faults. A series of experimental and theoretical studies on the correlation of the two techniques will be conducted. This project will integrate advanced technologies including 3D microscopy, neural netw ....Artificial intelligent system for integrated wear debris analysis and vibration analysis in machine condition monitoring. Vibration and wear debris analyses are the two main condition monitoring techniques for machinery maintenance and fault diagnosis. However, they can diagnose less than 50% of faults. A series of experimental and theoretical studies on the correlation of the two techniques will be conducted. This project will integrate advanced technologies including 3D microscopy, neural networks and expert systems to develop an artificial intelligent system based on the dependent and independent roles of the two condition monitoring techniques. Successful outcomes will result in an improved maintenance program and reduction in human involvement, and will provide significant economic benefit to engineering industries.Read moreRead less
An intelligent maintenance decision system for the water utility industry. The reliability and maintenance of pump stations is of paramount importance to the water utility industries. In Australia, the maintenance of assets for the water and wastewater industry amounts to $927m per annum. This research will develop an intelligent maintenance decision support system to reduce maintenance costs in pumping stations with increased reliability. The outcomes of the research will significantly improve ....An intelligent maintenance decision system for the water utility industry. The reliability and maintenance of pump stations is of paramount importance to the water utility industries. In Australia, the maintenance of assets for the water and wastewater industry amounts to $927m per annum. This research will develop an intelligent maintenance decision support system to reduce maintenance costs in pumping stations with increased reliability. The outcomes of the research will significantly improve the reliability and supply security of water systems to Queensland's rural and regional communities and industries. It will also advance the body of knowledge of the field of integrated asset management and enhance Australia's international standing in this field.Read moreRead less
Congestion management in key road networks of a major city through real time data collection, intelligent forecasting and real time routing. The project researches the issues for allowing Australian Road Traffic Authorities to automatically capture road traffic data, forecast traffic flows and smartly route traffic flows to avoid congestion on road networks. This will lead to several benefits, such as (a) reducing traffic congestion, shorten travel time and lower pollution, (b) better utilizati ....Congestion management in key road networks of a major city through real time data collection, intelligent forecasting and real time routing. The project researches the issues for allowing Australian Road Traffic Authorities to automatically capture road traffic data, forecast traffic flows and smartly route traffic flows to avoid congestion on road networks. This will lead to several benefits, such as (a) reducing traffic congestion, shorten travel time and lower pollution, (b) better utilization of existing road infrastructure by diffusing traffic to alternate routes, (c) provide economic benefit by allowing one to delay infrastructure expansion, (d) monitoring of aberrant behaviour by road users to ensure a safer road environment, and (e) improved flexibility in deployment of the Wireless Sensor Network to meet the needs of the road authorities and community.Read moreRead less
Developing a smart supervisory control system for pan stage operations in sugar factories. This project aims to develop a prototype smart supervisory control system for pan stage crystallisation operations in raw sugar processing. Intelligent systems technologies will be tailored to provide a standardised approach for pan operations by using key process measurements and combining them with the collective expertise and knowledge of pan operators. This project will lead to a significant advance in ....Developing a smart supervisory control system for pan stage operations in sugar factories. This project aims to develop a prototype smart supervisory control system for pan stage crystallisation operations in raw sugar processing. Intelligent systems technologies will be tailored to provide a standardised approach for pan operations by using key process measurements and combining them with the collective expertise and knowledge of pan operators. This project will lead to a significant advance in the development of intelligent systems techniques for industrial applications and provide a better decision making strategy for pan stage operations with the benefit of reduced costs of sugar manufacture and increased profitability of the Australian sugar industry.Read moreRead less
An automated system for the analysis of road safety and conditions. This project aims to develop an automated system for the analysis of road safety and conditions. Digital video road data is collected over every state road in Queensland annually, and has the potential to provide a range of value-added products for safer roads. This project will develop deep learning based neural network techniques which can learn and classify roadside objects so that video data can be automatically analysed all ....An automated system for the analysis of road safety and conditions. This project aims to develop an automated system for the analysis of road safety and conditions. Digital video road data is collected over every state road in Queensland annually, and has the potential to provide a range of value-added products for safer roads. This project will develop deep learning based neural network techniques which can learn and classify roadside objects so that video data can be automatically analysed allowing the estimation of the proximity of objects for road safety and rating. The expected outcome will be new identification techniques and software which can be incorporated with road data collection systems.Read moreRead less