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Dr Hui Ma
Dr

Hui Ma

Email: 
Phone: 
+61 7 334 68751

Overview

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

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.

Works

Search Professor Hui Ma’s works on UQ eSpace

129 works between 1997 and 2025

101 - 120 of 129 works

2013

Conference Publication

Finite element method modeled dielectric response for condition evaluation of transformer insulation

Cui, Yi, Ekanayake, Chandima, Saha, Tapan K., Du, Peidong and Ma, Hui (2013). Finite element method modeled dielectric response for condition evaluation of transformer insulation. 2013 Annual Report Conference on Electrical Insulation and Dielectric Phenomena, Chenzhen, China, 20-23 October 2013. Piscataway, NJ, United States: IEEE. doi: 10.1109/CEIDP.2013.6748314

Finite element method modeled dielectric response for condition evaluation of transformer insulation

2013

Conference Publication

Practical issues of online partial discharge measurement for in-service substation transformer

Seo, Junhyuck, Ma, Hui and Saha, Tapan K. (2013). Practical issues of online partial discharge measurement for in-service substation transformer. 2013 Australasian Universities Power Engineering Conference, AUPEC 2013, Hobart, TAS, Australia, 29 September - 3 October 2013. Piscataway, NJ, United States: IEEE. doi: 10.1109/AUPEC.2013.6725478

Practical issues of online partial discharge measurement for in-service substation transformer

2013

Conference Publication

Bayesian neural network and discrete wavelet transform for partial discharge pattern classification in high voltage equipment

Ma, Hui, Chan, Jeffery C. and Saha, Tapan K. (2013). Bayesian neural network and discrete wavelet transform for partial discharge pattern classification in high voltage equipment. PES-GM 2013: IEEE Power and Energy Society General Meeting, Vancouver, BC, Canada, 21-25 July, 2013. Red Hook, NY, USA: Institute of Electrical and Electronics Engineers. doi: 10.1109/PESMG.2013.6672075

Bayesian neural network and discrete wavelet transform for partial discharge pattern classification in high voltage equipment

2013

Conference Publication

Partial discharge sources classification of power transformer using pattern recognition techniques

Ma, Hui, Seo, Junhyuck, Saha, Tapan K., Chan, Jeffery and Martin, Daniel (2013). Partial discharge sources classification of power transformer using pattern recognition techniques. 2013 Annual Report Conference on Electrical Insulation and Dielectric Phenomena, Chenzhen, China, 20-23 October 2013. Piscataway, NJ, United States: IEEE. doi: 10.1109/CEIDP.2013.6747430

Partial discharge sources classification of power transformer using pattern recognition techniques

2013

Conference Publication

A comparative study on signal processing for partial discharge measurement

Chan, Jeffery, Ma, Hui and Saha, Tapan (2013). A comparative study on signal processing for partial discharge measurement. Cigré Colloquium. Managing Substations in the Power System of the Future: Trends in Technology, Design, Materials and Diagnostics, Brisbane, QLD, Australia, 8-13 September, 2013.

A comparative study on signal processing for partial discharge measurement

2013

Conference Publication

Power transformer condition assessment using support vector machine with heuristic optimization

Cui, Yi, Ma, Hui and Saha, Tapan K. (2013). Power transformer condition assessment using support vector machine with heuristic optimization. Australasian Universities Power Engineering Conference, AUPEC 2013, Hobart, TAS, Australia, 29 September - 03 October 2013. Piscataway, NJ United States: IEEE. doi: 10.1109/AUPEC.2013.6725452

Power transformer condition assessment using support vector machine with heuristic optimization

2013

Conference Publication

State of the Art Review On Managing Vegetable Oil Filled Transformers

Martin, Daniel, Ma, Hui, Ekanayake, Chandima, Saha, Tapan, Lelekakis, Nick and Williams, Kerry (2013). State of the Art Review On Managing Vegetable Oil Filled Transformers. Cigre Study Communities B3 / D1 Colloquium Brisbane 2013, Brisbane, QLD, Australia, 8 - 13 September 2013. Brisbane, QLD, Australia: CIGRE.

State of the Art Review On Managing Vegetable Oil Filled Transformers

2013

Conference Publication

Adaptive blind equalization for automatic partial discharge signal processing and pattern classification

Chan, Jeffery C., Ma, Hui, Saha, Tapan K. and Ekanayake, Chandima (2013). Adaptive blind equalization for automatic partial discharge signal processing and pattern classification. 2013 Annual Report Conference on Electrical Insulation and Dielectric Phenomena, Chenzhen, China, 20-23 October 2013. Piscataway, NJ, United States: IEEE. doi: 10.1109/CEIDP.2013.6748108

Adaptive blind equalization for automatic partial discharge signal processing and pattern classification

2012

Journal Article

Power transformer fault diagnosis under measurement originated uncertainties

Ma, Hui, Ekanayake, Chandima and Saha, Tapan (2012). Power transformer fault diagnosis under measurement originated uncertainties. IEEE Transaction on Dielectrics and Electrical Insulation, 19 (6) 6396956, 1982-1990. doi: 10.1109/TDEI.2012.6396956

Power transformer fault diagnosis under measurement originated uncertainties

2012

Journal Article

Statistical learning techniques and their applications for condition assessment of power transformer

Ma, Hui, Saha, Tapan K. and Ekanayake, Chandima (2012). Statistical learning techniques and their applications for condition assessment of power transformer. IEEE Transactions on Dielectrics and Electrical Insulation, 19 (2) 6180241, 481-489. doi: 10.1109/TDEI.2012.6180241

Statistical learning techniques and their applications for condition assessment of power transformer

2012

Conference Publication

Modern machine learning techniques for power transformer condition assessment

Ma, H., Saha, T. K., Ekanayake, C. and Allen, D. (2012). Modern machine learning techniques for power transformer condition assessment. CIGRE Session 44, Paris, France, 26-31 August 2012. Paris, France: Council on Large Electric Systems (CIGRE).

Modern machine learning techniques for power transformer condition assessment

2012

Conference Publication

A novel level-based automatic wavelet selection scheme for partial discharge measurement

Chan, Jeffery C., Ma, Hui, Saha, Tapan K. and Ekanayake, Chandima (2012). A novel level-based automatic wavelet selection scheme for partial discharge measurement. 2012 22nd Australasian Universities Power Engineering Conference, Bali, Indonesia, 26-29 September 2012. Piscataway, NJ, United States: IEEE.

A novel level-based automatic wavelet selection scheme for partial discharge measurement

2012

Conference Publication

Interpretation of dielectric response measurements of transformer insulation under temperature variations and transient effects

Ma, Hui, Saha, Tapan K. and Ekanayake, Chandima (2012). Interpretation of dielectric response measurements of transformer insulation under temperature variations and transient effects. 2012 IEEE Power and Energy Society General Meeting, San Diego, United States, 22-26 July 2012. Piscataway, NJ, United States: IEEE. doi: 10.1109/PESGM.2012.6344903

Interpretation of dielectric response measurements of transformer insulation under temperature variations and transient effects

2012

Conference Publication

A study on suitability of different transformer winding models for frequency response analysis

Yousof, M. F. M., Ekanayake, Chandima, Saha, Tapan K. and Ma, Hui (2012). A study on suitability of different transformer winding models for frequency response analysis. 2012 IEEE Power and Energy Society General Meeting, San Diego, United States, 22-26 July 2012. Piscataway, NJ, United States: IEEE. doi: 10.1109/PESGM.2012.6345217

A study on suitability of different transformer winding models for frequency response analysis

2012

Conference Publication

Multivariate analysis for correlations among different transformer oil parameters to determine transformer health index

Dehghani Ashkezari, Atefeh, Ma, Hui, Ekanayake, Chandima and Saha, Tapan K. (2012). Multivariate analysis for correlations among different transformer oil parameters to determine transformer health index. 2012 IEEE Power and Energy Society General Meeting, San Diego, United States, 22- 26 July 2012. Piscataway, NJ, United States: IEEE. doi: 10.1109/PESGM.2012.6345231

Multivariate analysis for correlations among different transformer oil parameters to determine transformer health index

2011

Conference Publication

Evaluating the accuracy of different DGA techniques for improving the transformer oil quality interpretation

Dehghani Ashkezari, Atefeh, Saha, Tapan K., Ekanayake, Chandima and Ma, Hui (2011). Evaluating the accuracy of different DGA techniques for improving the transformer oil quality interpretation. AUPEC 2011: Australasian Universities Power Engineering Conference. Integrating Renewables into the Grid, Brisbane, QLD Australia, 25-28 September 2011. Piscataway, NJ United States: Institute for Electrical and Electronic Engineers.

Evaluating the accuracy of different DGA techniques for improving the transformer oil quality interpretation

2011

Conference Publication

Machine learning techniques for power transformer insulation diagnosis

Ma, Hui, Saha, Tapan K. and Ekanayake, Chandima (2011). Machine learning techniques for power transformer insulation diagnosis. 21st Australasian Universities Power Engineering Conference (AUPEC), 2011, Brisbane, Australia, 25-28 September 2011. Piscataway, NJ, United States: IEEE.

Machine learning techniques for power transformer insulation diagnosis

2011

Conference Publication

Investigation of non-linearity in dielectric response measurements for transformer insulation diagnosis

Dehghani Ashkezari, Atefeh, Ma, Hui, Saha, Tapan K. and Chandima Ekanayake (2011). Investigation of non-linearity in dielectric response measurements for transformer insulation diagnosis. IEEE Power and Energy Society’s Innovative Smart Grid Technologies Asia 2011 Conference (IEEE PES ISGT Asia 2011), Perth, W.A., Australia, 13-16 November 2011. Piscataway, NJ, United States: IEEE. doi: 10.1109/ISGT-Asia.2011.6167113

Investigation of non-linearity in dielectric response measurements for transformer insulation diagnosis

2011

Conference Publication

Predictive learning and information fusion for condition assessment of power transformer

Ma, Hui, Saha, Tapan K. and Ekanayake, Chandima (2011). Predictive learning and information fusion for condition assessment of power transformer. 2011 IEEE Power and Energy Society General Meeting, Detroit, MI, United States, 24-29 July 2011. Piscataway, NJ, United States: IEEE. doi: 10.1109/PES.2011.6039069

Predictive learning and information fusion for condition assessment of power transformer

2011

Conference Publication

Sensing nodes selection scheme for distributive target tracking in wireless sensor networks

Ma, Hui (2011). Sensing nodes selection scheme for distributive target tracking in wireless sensor networks. 37th Annual Conference of the IEEE Industrial Electronics Society (IECON 2011), Melbourme, Australia, 7-10 November 2011. Piscataway, NJ, United States: I E E E. doi: 10.1109/IECON.2011.6119643

Sensing nodes selection scheme for distributive target tracking in wireless sensor networks

Funding

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

Supervision

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

    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

    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

    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

  • Doctor Philosophy

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

    Associate Advisor

    Other advisors: Dr Chandima Ekanayake

Completed supervision

Media

Enquiries

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