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