Research Grant
[Cite as http://purl.org/au-research/grants/arc/DP140102180]Researchers: A/Prof Mohammad Aldeen (Chief Investigator) , Prof Peng Shi (Chief Investigator) , A/Prof Mehrdad Saif (Partner Investigator)
Brief description Fault detection and identification in nonlinear complex systems. Complex systems usually comprise a large number of inter-dependent subsystems linked together to perform a certain task. Examples of such systems are power systems, irrigation systems, air traffic control systems, to name a few. Such systems are subject to component failure or malfunction. Total failure can cause an unacceptable financial losses and/or danger to personnel. It is therefore extremely essential, from economic and safety view points, that a way be found to ensure reliable and viable operation of complex plants. A first step in achieving this goal is to detect faults on-line and in real-time when they occur and identify their location and characteristics, which is the aim of this project.
Funding Amount $270,000
Funding Scheme Discovery Projects
- ARC : DP140102180
- PURL : http://purl.org/au-research/grants/arc/DP140102180
