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Grant Award View - GA28764-V2
A novel intelligent prognostics platform for complex cyberphysical...
GA ID:
GA28764-V2
Agency:
Australian Research Council
Approval Date:
27-Nov-2018
Variation Publish Date:
2-Aug-2021
Variation Date:
27-Jul-2021
Category:
Science, Technology, Engineering and Mathematics (STEM) Research
Grant Term:
29-May-2019 to 28-May-2022
Value (AUD):
$357,500.00
(GST inclusive where applicable)
Varies:
GA28764
- A novel intelligent prognostics platform for complex cyberphysical systems
One-off/Ad hoc:
No
Aggregate Grant Award:
No
PBS Program Name:
ARC 18/19 Discovery
Grant Program:
Discovery Early Career Researcher Award
Grant Activity:
A novel intelligent prognostics platform for complex cyberphysical systems
Purpose:
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.
GO ID:
GO Title:
Discovery Early Career Researcher Award commencing in 2019
Internal Reference ID:
DE19 Round 1
Selection Process:
Targeted or Restricted Competitive
Confidentiality - Contract:
No
Confidentiality - Outputs:
No
Grant Recipient Details
Recipient Name:
University of Wollongong
Recipient ABN:
61 060 567 686
Grant Recipient Location
Suburb:
WOLLONGONG
Town/City:
WOLLONGONG
Postcode:
2522
State/Territory:
NSW
Country:
AUSTRALIA
Grant Delivery Location
State/Territory:
NSW
Postcode:
2522
Country:
AUSTRALIA