Fault detection in engineering systems

Project description

This project aims to use state estimation and observer theory to design fault diagnosis schemes for engineering systems. The schemes are required to detect and identify faults in any part of such systems in real time.  Linear and nonlinear systems are considered using model-based and knowledge-based techniques. Large-scale interconnected systems (such as power systems) are of special interest in this project.

Project team

Leader: Mohammad Aldeen

Staff: Rahul Sharma

Collaborators: Edwin Tan (Monash University, Malaysia)

Other projects

Networks and data in society projects

Disciplines

Electrical & Electronic Engineering

Domains

Networks and data in society

Keywords

applied control theory; complex systems; large-scale systems; Systems Theory