Discovery Early Career Researcher Award - Grant ID: DE190100931

Funding Activity

Website
http://dataportal.arc.gov.au/NCGP/Web/Grant/Grant/DE190100931

Funding Status
Closed

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Funded Activity 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 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.

Funded Activity Details

Start Date: 29-05-2019

End Date: 17-04-2021

Funding Scheme: Discovery Early Career Researcher Award

Funding Amount: $325,000.00

Funder: Australian Research Council

Research Topics

ANZSRC Field of Research (FoR)

Manufacturing Safety and Quality | Mechanical Engineering | Numerical Modelling and Mechanical Characterisation

ANZSRC Socio-Economic Objective (SEO)

Automotive Equipment | Industrial Machinery and Equipment |

Other Keywords

Automotive Equipment | Industrial Machinery and Equipment | Manufacturing Safety and Quality | Mechanical Engineering | Numerical Modelling and Mechanical Characterisation

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