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Discovery Early Career Researcher Award - Grant ID: DE190100931
Funder
Australian Research Council
Funding Amount
$325,000.00
Summary
A novel intelligent prognostics platform for complex cyberphysical systems. This project aims to develop a novel data-driven dynamic reliability assessment platform to improve predictive maintenance ability in complex cyberphysical systems (CPSs). This will be achieved by identifying which degradation mechanism(s) are likely to cause an impending failure, and then highlighting the event to trigger for maintenance service or control operation. The expected outcomes are new methods and tools neede ....A novel intelligent prognostics platform for complex cyberphysical systems. This project aims to develop a novel data-driven dynamic reliability assessment platform to improve predictive maintenance ability in complex cyberphysical systems (CPSs). This will be achieved by identifying which degradation mechanism(s) are likely to cause an impending failure, and then highlighting the event to trigger for maintenance service or control operation. The expected outcomes are new methods and tools needed to leverage failure prognostics and prognostics-informed maintenance/control for making CPSs resilient with reduced levels of redundancy. This research will produce major advancements in extending core components’ life and durability in complex CPSs, bringing economic benefit for Australia industry.Read moreRead less
Modelling the cutting process and cutting performance in high-speed abrasive waterjet turning. This project will have a significant impact for the manufacturing industry by providing a new abrasive waterjet turning technology for producing highly reliable products from advanced, but difficult-to-machine, materials. It will also develop into a new branch of science by understanding the mechanics associated with the new turning process.