Fault detection in engineering systems
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.
Leader: Mohammad Aldeen
Staff: Rahul Sharma
Collaborators: Edwin Tan (Monash University, Malaysia)
Electrical & Electronic Engineering
Networks and data in society
applied control theory; complex systems; large-scale systems; Systems Theory