grant

Discovery Projects - Grant ID: DP140102180 [ 2014-06-01 - 2018-04-30 ]

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

View this grant in the ARC Data Portal

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