Dr Hui Ma
Dr

Hui Ma

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Phone: 
+61 7 334 68751

Background

Dr Hui Ma received his B.Eng and M.Eng from Xi’an Jiaotong University (China), M.Eng (research) from Nanyang Technological University (Singapore), and PhD from the University of Adelaide (Australia). He has been working at the University of Queensland (Australia) since 2008. From 1997 to 2003, Dr Ma was an engineer in Singapore and made contribution to the design, development and deployment of the Intelligent Self-recovery and Automated Cargo Inventory Control System for Singapore Airline SuperHub 2.

Dr Ma's current research and development work is associated with Australian electricity supply industry. His research is centred on Electrical Asset Management including (1) modelling, sensing, and signal processing to improve the visibility of electricity networks and assets condition; and (2) data mining with uncertain reasoning for various applications of electricity networks with high penetration of renewables. Dr Hui Ma is an editor for IEEE Transactions on Power Delivery and a memebr of IEEE Smart Grid Steering Committee. He is also a member of CIGRE Australian Panel D1.

Dr Ma's course coordination and teaching:

ELEC2400 (Electronic Devices and Circuits)

ELEC4320 (Modern Asset Management and Condition Monitoring in Power System)

Dr Ma also coordinated and taught ELEC4400/EELC7402 (Advanced Electronic & Power Electronics Design) and ELEC7051 (Transformer Technology Design and Operation).

Availability

Dr Hui Ma is:
Available for supervision

Fields of research

Engineering

Qualifications

  • Bachelor of Engineering, Xi'an Jiaotong University
  • Masters (Research) of Electrical - Engineering, Xi'an Jiaotong University
  • Masters (Research) of Engineering, Nanyang Technological University
  • Doctor of Philosophy, University of Adelaide
  • Senior Member, Institute of Electrical and Electronics Engineers, Institute of Electrical and Electronics Engineers

Research interests

  • Power, Energy and Control Engineering

    Industrial informatics, condition monitoring and diagnosis, high voltage engineering and electrical insulation, power systems, wireless sensor networks, and sensor signal processing

Research impacts

My research work is closely associated with the Australian electricity supply industry and my research theme is “Power System Asset Management” with the focus on (1) modelling, sensing, and signal processing to improve the visibility of electricity networks and assets condition; and (2) data mining with uncertain reasoning for various applications of electricity networks with high penetration of renewables.

Search Professor Hui Ma’s works on UQ eSpace

128 works between 1997 and 2025
All (128) Journal Article (59) Book Chapter (3) Conference Publication (64) Other Outputs (2)

121 - 128 of 128 works

2010

Conference Publication

Power transformer insulation diagnosis under measurement originated uncertainties

Ma, Hui, Saha, Tapan K. and Ekanayake, Chandima (2010). Power transformer insulation diagnosis under measurement originated uncertainties. IEEE Power and Energy Society 2010 General Meeting, Minneapolis, MN, USA, 25-29 July 2010. Piscataway, NJ, United States: IEEE. doi: 10.1109/PES.2010.5589395

Power transformer insulation diagnosis under measurement originated uncertainties

2010

Conference Publication

Application of polarization based measurement techniques for diagnosis of field transformers

Ekanayake, Chandima, Saha, Tapan K., Ma, Hui and Allan, David (2010). Application of polarization based measurement techniques for diagnosis of field transformers. IEEE Power and Energy Society 2010 General Meeting, Minneapolis, Minnesota, USA, 25 July - 29 July 2010. New York, N.Y.: Institute of Electrical and Electronics Engineers, Inc. : IEEE Power Engineering Society. doi: 10.1109/PES.2010.5589446

Application of polarization based measurement techniques for diagnosis of field transformers

2009

Conference Publication

Intelligent framework and techniques for power transformer insulation diagnosis

Ma, H, Saha, T.K., Thomas, A. and Ekanayake, C. (2009). Intelligent framework and techniques for power transformer insulation diagnosis. IEEE Power and Energy Society (PES) 2009 General Meeting, Calgary, Alberta, Canada, 26-30 July 2009. Piscataway, NJ, United States: IEEE. doi: 10.1109/PES.2009.5275876

Intelligent framework and techniques for power transformer insulation diagnosis

2009

Conference Publication

Reliability of dielectric response measurements for estimating moisture in oil impregnated paper insulation

Ekanayake, Chandima, Saha, Tapan, Thomas, Andrew and Ma, Hui (2009). Reliability of dielectric response measurements for estimating moisture in oil impregnated paper insulation. Energy 21C: The 10th International Transmission and Distribution Conference & Exhibition (Electricity and Gas Networks), Melbourne, VIC, Australia, 6-9 September 2009.

Reliability of dielectric response measurements for estimating moisture in oil impregnated paper insulation

2007

Conference Publication

Distributive target tracking in wireless sensor networks under measurement origin uncertainty

Ma, Hui and Ng, Brian W. -H. (2007). Distributive target tracking in wireless sensor networks under measurement origin uncertainty. 3rd Intelligent Sensors, Sensor Networks and Information Processing Conference, Adelaide Australia, Dec 03-06, 2007. NEW YORK: IEEE.

Distributive target tracking in wireless sensor networks under measurement origin uncertainty

2006

Conference Publication

Distributive JPDAF for multi-target tracking in wireless sensor networks

Ma, Hui and Ng, Brian W. -H. (2006). Distributive JPDAF for multi-target tracking in wireless sensor networks. IEEE Region 10 Conference (TENCON 2006), Hong Kong Peoples R China, Nov 14-17, 2006. NEW YORK: QUEENSLAND UNIVERSITY TECHNOLOGY.

Distributive JPDAF for multi-target tracking in wireless sensor networks

2003

Conference Publication

Knowledge discovery application framework for manufacturing execution, diagnosis and optimization

Ma, H, Zhang, JB, Zhao, YZ, Tan, CH and Qu, RT (2003). Knowledge discovery application framework for manufacturing execution, diagnosis and optimization. IEEE International Conference on Industrial Informatics (INDIN 2003), Banff Canada, Aug 21-24, 2003. NEW YORK: IEEE.

Knowledge discovery application framework for manufacturing execution, diagnosis and optimization

1997

Conference Publication

Pattern recognition of PD in large turbine generators with a neural network system

Wu, GG, Xie, HK, Ma, H, Jiang, XW, Chen, ZQ and Sun, DL (1997). Pattern recognition of PD in large turbine generators with a neural network system. 5th International Conference on Properties and Applications of Dielectric Materials, Seoul South Korea, May 25-30, 1997. NEW YORK: I E E E.

Pattern recognition of PD in large turbine generators with a neural network system

Current funding

  • 2024 - 2025
    Application of Multimodal Sensors to Reduce Transformer Failures
    Schneider Electric (Australia) Pty Limited
    Open grant

Past funding

  • 2018 - 2020
    Overhead Conductor Condition Monitoring
    Energy Networks Association Limited
    Open grant
  • 2017 - 2020
    Preventing transformer failures caused by silver sulphide
    Energy Networks Association Limited
    Open grant

Availability

Dr Hui Ma is:
Available for supervision

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Available projects

  • Sensing, Signal Processing and Learning for Power System Asset Management

    We are seeking talented PhD candidates to develop sensing, signal processing and machine learning techniques for power system asset management. The objectives of the project include:

    1. To investigate the efficient deployment of an optimal set of sensors to provide sufficient visibility of the condition of power system assets.
    2. To apply compressive sensing techniques for an effective data acquisition while preserving the primary characteristics of measurement data without significant information loss.
    3. To develop novel data analytic techniques for extracting useful information from large datasets and subsequently transforming such information into knowledge regarding the condition of power system asset.
    4. To develop data fusion algorithms to integrate various condition measurement results and all available information and subsequently determining the health status of an asset and predict its remaining useful life.
    5. To deploy the signal acquisition, signal processing, data analytic and information fusion algorithms to field condition monitoring of power system assets.

    It is expected that the techniques developed in this project can assess the condition of power system asset effectively to provide a means for safeguarding the key assets in Australian power system networks. The outcomes of the project will also pave a way for Australian utilities to make their assets more suitable for integration into smart grid environment.

Supervision history

Current supervision

  • Doctor Philosophy

    Substation Electric Transient on Power Transformer Insulation Aging

    Principal Advisor

    Other advisors: Dr Chandima Ekanayake, Dr Lei Guo

  • Doctor Philosophy

    Modelling cloud movement to generate short term solar irradiance predictions and subsequent expected PV power production

    Principal Advisor

    Other advisors: Professor Brian Lovell, Professor Eve McDonald-Madden

  • Doctor Philosophy

    Modelling cloud movement to generate short term solar irradiance predictions and subsequent expected PV power production

    Principal Advisor

    Other advisors: Professor Brian Lovell, Professor Eve McDonald-Madden

  • Doctor Philosophy

    Home Energy Managment System

    Principal Advisor

    Other advisors: Dr Chandima Ekanayake

  • Doctor Philosophy

    Data-driven Image Processing Techniques for Photovoltaic Generation Forecasting

    Principal Advisor

    Other advisors: Dr Chandima Ekanayake, Dr Yi Cui

  • Doctor Philosophy

    Leveraging Synchro-Waveforms and Deep Learning for the Situational Awareness of Power Distribution Networks

    Principal Advisor

    Other advisors: Dr Chandima Ekanayake

  • Doctor Philosophy

    Sensing, modelling, Signal Processing and Data Analysing for Transformer/OLTC/Circuit Breaker Health Management

    Associate Advisor

    Other advisors: Dr Chandima Ekanayake

  • Doctor Philosophy

    Develop Virtual Inertia and Estimate the Optimal Location of Microgrids in Australian Grid Using Machine Learning

    Associate Advisor

    Other advisors: Professor Mithulan Nadarajah, Dr Feifei Bai

  • Master Philosophy

    Mitigation of Power Transformer failure due to Corrosive Sulphur

    Associate Advisor

    Other advisors: Professor Tapan Saha, Dr Chandima Ekanayake

  • Doctor Philosophy

    Impact of distributed energy resources (DER) on the life expectancy of transformer

    Associate Advisor

    Other advisors: Professor Tapan Saha, Dr Chandima Ekanayake

Completed supervision

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