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A Novel Intelligent Prognostics Platform for Complex Cyberphysical Systems

Grant


Scheme


  • Discovery Early Career Researcher Award (DECRA)

Abstract


  • 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.

Date/time Interval


  • 2019

Sponsor Award Id


  • DE190100931

Local Award Id


  • 127951

Scheme


  • Discovery Early Career Researcher Award (DECRA)

Abstract


  • 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.

Date/time Interval


  • 2019

Sponsor Award Id


  • DE190100931

Local Award Id


  • 127951