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Field of Research : Electrical and Electronic Engineering
Research Topic : Software
Australian State/Territory : SA
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  • Funded Activity

    Discovery Projects - Grant ID: DP140102180

    Funder
    Australian Research Council
    Funding Amount
    $270,000.00
    Summary
    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 safe .... 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.
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    Funded Activity

    Linkage Projects - Grant ID: LP0453951

    Funder
    Australian Research Council
    Funding Amount
    $174,735.00
    Summary
    Integrated On-line Condition Monitoring and Failure Diagnosis in Induction Motors. Electric motors are widely used in industry. Traditional maintenance approaches have involved regular overhauls/inspections and replacement after a fixed period. On-line condition monitoring involves taking non-invasive measurements to determine the motor's "health" and only scheduling maintenance when required. The benefits are reduced unexpected failures and reduced maintenance costs due to the greater maintena .... Integrated On-line Condition Monitoring and Failure Diagnosis in Induction Motors. Electric motors are widely used in industry. Traditional maintenance approaches have involved regular overhauls/inspections and replacement after a fixed period. On-line condition monitoring involves taking non-invasive measurements to determine the motor's "health" and only scheduling maintenance when required. The benefits are reduced unexpected failures and reduced maintenance costs due to the greater maintenance intervals. The majority of existing work on condition monitoring has looked at using a single sensor type (eg. vibration) for fault prediction. The proposed work seeks to improve the reliability and accuracy of fault diagnosis by correlating information from multiple sensor types, which can be accessed remotely.
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    Funded Activity

    Linkage Projects - Grant ID: LP0454838

    Funder
    Australian Research Council
    Funding Amount
    $150,000.00
    Summary
    Hardware Verification Techniques for Complex High Performance Systems-on-a-chip. Verifying the correctness of modern integrated circuit designs is a critical success factor from both economic and technological perspectives. Rapid advances in semiconductor manufacturing technology are not matched by similar gains in hardware design verification methodology. This creates a widening verification gap that threatens the viability of future complex integrated circuits. This project aims to address th .... Hardware Verification Techniques for Complex High Performance Systems-on-a-chip. Verifying the correctness of modern integrated circuit designs is a critical success factor from both economic and technological perspectives. Rapid advances in semiconductor manufacturing technology are not matched by similar gains in hardware design verification methodology. This creates a widening verification gap that threatens the viability of future complex integrated circuits. This project aims to address this issue by developing novel hardware verification techniques targeting complex high performance systems-on-a-chip. The research outcome will be a set of verification techniques and tools that directly benefit the advancement of future integrated circuit development, verification and manufacturing.
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