Machine Learning for Structural Health Monitoring (Old ID 26289)
Department of Industry, Rockfield Technologies Australia Pty Ltd
Role
Principal Investigator
Description
Structural health monitoring (SHM) is a developing technology but is still considered expensive by asset owners. However, SHM is on the verge of a massive technology disruption. Through the emergence of low-cost, high-performance sensors, the development of Internet of Things (IoT) communications and now deep-learning, Artificial Intelligence (AI) the SHM monitoring of buildings, bridges and other civil assets can now be realised. This project will attempt to build a prototype loT/ML based SHM system.
Date
01 Jan 2019 - 31 Dec 2019
Project Type
GRANT
Keywords
Iot;Structural Health Monitoring;Artificial Intelligence;Machine Learning
Funding Body
Department of Industry, Rockfield Technologies Australia Pty Ltd
Amount
149196
Project Team
N/A