Early detection of asset failure using Machine Learning (Old ID 26476)

Department of Industry
Role

Principal Investigator

Description

Develop an artificial intelligence (AI) model to anticipate the likelihood of catastrophic failure of civil assets (eg bridges). This includes validation of code to support the AI processing of real-time data measured from large civil infrastructure such as bridges and assessing the viability of using low-cost IoT sensors to monitor asset health in real-time.

Date

15 Apr 2019 - 13 Apr 2020

Project Type

GRANT

Keywords

AI;Artificial Intelligence;structural health analysis;Machine Learning;finite element

Funding Body

Department of Industry

Amount

9091

Project Team

N/A