Dr Hui Ma
Dr

Hui Ma

Email: 
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

129 works between 1997 and 2025
All (129) Journal Article (59) Book Chapter (3) Conference Publication (65) Other Outputs (2)

81 - 100 of 129 works

2015

Conference Publication

Multi-variable approach for evaluating transformer paper insulation

Cui, Yi, Martin, Daniel, Saha, Tapan, Ma, Hui, Ekanayake, Chandima and Lelekakis, Nick (2015). Multi-variable approach for evaluating transformer paper insulation. International Conference on the Properties and Applications of Dielectric Materials (ICPADM), Sydney, NSW, Australia, 19-22 July 2015. Piscataway, NJ, United States: IEEE (Institute for Electrical and Electronic Engineers). doi: 10.1109/ICPADM.2015.7295273

Multi-variable approach for evaluating transformer paper insulation

2015

Conference Publication

Investigation of moisture influence on dielectric response of ester oil impregnated pressboard

Bandara, Kapila, Ekanayake, Chandima, Saha, Tapan and Ma, Hui (2015). Investigation of moisture influence on dielectric response of ester oil impregnated pressboard. Power and Energy Society General Meeting, Denver, CO, United States, 26-30 July 2015. Piscataway, NJ, United States: IEEE (Institute for Electrical and Electronic Engineers). doi: 10.1109/PESGM.2015.7286020

Investigation of moisture influence on dielectric response of ester oil impregnated pressboard

2015

Journal Article

Time-frequency sparsity map on automatic partial discharge sources separation for power transformer condition assessment

Chan, Jeffery C., Ma, Hui and Saha, Tapan K (2015). Time-frequency sparsity map on automatic partial discharge sources separation for power transformer condition assessment. IEEE Transactions on Dielectrics and Electrical Insulation, 22 (4) 7179191, 2271-2283. doi: 10.1109/TDEI.2015.004836

Time-frequency sparsity map on automatic partial discharge sources separation for power transformer condition assessment

2015

Conference Publication

Transformer hot spot temperature prediction using a hybrid algorithm of support vector regression and information granulation

Cui, Yi, Ma, Hui and Saha, Tapan (2015). Transformer hot spot temperature prediction using a hybrid algorithm of support vector regression and information granulation. IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC), Brisbane, Australia, 15-18 November 2015. Piscataway, NJ, United States: Institute of Electrical and Electronic Engineers (IEEE). doi: 10.1109/APPEEC.2015.7381066

Transformer hot spot temperature prediction using a hybrid algorithm of support vector regression and information granulation

2015

Conference Publication

Sinusoidal noise suppression technique for partial discharge measurement of transformers

Seo, Junhyuck, Ma, Hui and Saha, Tapan K. (2015). Sinusoidal noise suppression technique for partial discharge measurement of transformers. IEEE Power and Energy Society General Meeting, PESGM, Denver, CO, United States, 26-30 July 2015. Piscataway, NJ, United States: Institute of Electrical and Electronic Engineers (IEEE). doi: 10.1109/PESGM.2015.7285855

Sinusoidal noise suppression technique for partial discharge measurement of transformers

2015

Conference Publication

Time Domain Diffusion-Driven Dielectric Response Model for Investigation of Moisture Dynamics in Transformers Insulation

Cui, Yi, Ma, Hui, Saha, Tapan, Ekanayake, Chandima and Martin, Daniel (2015). Time Domain Diffusion-Driven Dielectric Response Model for Investigation of Moisture Dynamics in Transformers Insulation. IEEE Power and Energy Society General Meeting, Denver, CO United States, 26-30 July 2015. NEW YORK: IEEE Computer Society. doi: 10.1109/PESGM.2015.7285860

Time Domain Diffusion-Driven Dielectric Response Model for Investigation of Moisture Dynamics in Transformers Insulation

2014

Journal Article

Improvement of Power Transformer Insulation Diagnosis Using Oil Characteristics Data Preprocessed by SMOTEBoost Technique

Cui, Yi, Ma, Hui and Saha, Tapan (2014). Improvement of Power Transformer Insulation Diagnosis Using Oil Characteristics Data Preprocessed by SMOTEBoost Technique. IEEE Transactions on Dielectrics and Electrical Insulation, 21 (5) 6927367, 2363-2373. doi: 10.1109/TDEI.2014.004547

Improvement of Power Transformer Insulation Diagnosis Using Oil Characteristics Data Preprocessed by SMOTEBoost Technique

2014

Journal Article

Automatic blind equalization and thresholding for partial discharge measurement in power transformer

Chan, Jeffrey C., Ma, Hui and Saha, Tapan Kumar (2014). Automatic blind equalization and thresholding for partial discharge measurement in power transformer. IEEE Transactions on Power Delivery, 29 (4) 6851211, 1927-1938. doi: 10.1109/TPWRD.2014.2322114

Automatic blind equalization and thresholding for partial discharge measurement in power transformer

2014

Journal Article

Pattern recognition techniques for power transformer insulation diagnosis: a comparative study. Part 1: framework, literature,and illustration

Cui, Yi, Ma, Hui and Saha, Tapan (2014). Pattern recognition techniques for power transformer insulation diagnosis: a comparative study. Part 1: framework, literature,and illustration. International Transactions on Electrical Energy Systems, 25 (10), 2247-2259. doi: 10.1002/etep.1959

Pattern recognition techniques for power transformer insulation diagnosis: a comparative study. Part 1: framework, literature,and illustration

2014

Journal Article

Pattern recognition techniques for power transformer insulation diagnosis: a comparative study. Part 2: implementation, case study,and statistical analysis

Cui, Yi, Ma, Hui and Saha, Tapan (2014). Pattern recognition techniques for power transformer insulation diagnosis: a comparative study. Part 2: implementation, case study,and statistical analysis. International Transactions on Electrical Energy Systems, 25 (10), 2260-2274. doi: 10.1002/etep.1963

Pattern recognition techniques for power transformer insulation diagnosis: a comparative study. Part 2: implementation, case study,and statistical analysis

2014

Journal Article

Investigation of feature selection techniques for improving efficiency of power transformer condition assessment

Dehghani Ashkezari, Atefeh, Ma, Hui, Saha, Tapan K. and Cui, Yi (2014). Investigation of feature selection techniques for improving efficiency of power transformer condition assessment. IEEE Transactions on Dielectrics and Electrical Insulation, 21 (2) 6783079, 836-844. doi: 10.1109/TDEI.2013.004090

Investigation of feature selection techniques for improving efficiency of power transformer condition assessment

2014

Journal Article

Self-adaptive partial discharge signal de-noising based on ensemble empirical mode decomposition and automatic morphological thresholding

Chan, Jeffery C., Ma, Hui, Saha, Tapan K. and Ekanayake, Chandima (2014). Self-adaptive partial discharge signal de-noising based on ensemble empirical mode decomposition and automatic morphological thresholding. IEEE Transactions On Dielectrics and Electrical Insulation, 21 (1), 294-303. doi: 10.1109/TDEI.2014.6740752

Self-adaptive partial discharge signal de-noising based on ensemble empirical mode decomposition and automatic morphological thresholding

2014

Conference Publication

A diffusion-driven model for investigating moisture effects on dielectric response measurement of transformer insulation

Cui, Yi, Ma, Hui, Saha, Tapan and Ekanayake, Chandima (2014). A diffusion-driven model for investigating moisture effects on dielectric response measurement of transformer insulation. 2014 IEEE Power and Energy General Meeting (PES 2014), National Harbor, MD,United States, 27-31 July 2014. Piscataway, NJ, United States: IEEE. doi: 10.1109/PESGM.2014.6938883

A diffusion-driven model for investigating moisture effects on dielectric response measurement of transformer insulation

2014

Conference Publication

Stochastic noise removal on partial discharge measurement for transformer insulation diagnosis

Chan, Jerrery C., Ma, Hui, Saha, Tapan K. and Ekanayake, Chandima (2014). Stochastic noise removal on partial discharge measurement for transformer insulation diagnosis. 2014 IEEE PES General Meeting: Conference and Expositio, National Harbor, MD, United States, 27-31 July 2014. Piscataway, NJ, United States: IEEE. doi: 10.1109/PESGM.2014.6938913

Stochastic noise removal on partial discharge measurement for transformer insulation diagnosis

2014

Conference Publication

Pattern recognition techniques for determining the health index of oil-paper insulation of in-service power transformers

Saha, T. K., Ma, H., Ekanayake, C., Martin, D. and Allan, D. (2014). Pattern recognition techniques for determining the health index of oil-paper insulation of in-service power transformers. 45th International Conference on Large High Voltage Electric Systems 2014, CIGRE 2014, Paris, France, 24-29 August 2014. CIGRE.

Pattern recognition techniques for determining the health index of oil-paper insulation of in-service power transformers

2014

Conference Publication

Differential partial discharge extraction technique for online power transformer insulation assessment

Seo, Junhyuck, Ma, Hui and Saha, Tapan K. (2014). Differential partial discharge extraction technique for online power transformer insulation assessment. 2014 IEEE PES General Meeting: Conference and Exposition, National Harbor, MD, United States, 27-31 July 2014. Piscataway, NJ, United States: IEEE. doi: 10.1109/PESGM.2014.6938894

Differential partial discharge extraction technique for online power transformer insulation assessment

2013

Journal Article

Application of fuzzy support vector machine for determining the health index of the insulation system of in-service power transformers

Dehghani Ashkezari, Atefeh, Ma, Hui, Saha, Tapan K. and Ekanayake, Chandima (2013). Application of fuzzy support vector machine for determining the health index of the insulation system of in-service power transformers. IEEE Transactions on Dielectrics and Electrical Insulation, 20 (3) 6518966, 965-973. doi: 10.1109/TDEI.2013.6518966

Application of fuzzy support vector machine for determining the health index of the insulation system of in-service power transformers

2013

Journal Article

Pattern recognition techniques and their applications for automatic classification of artificial partial discharge sources

Ma, Hui, Chan, Jeffery C., Saha, Tapan K. and Ekanayake, Chandima (2013). Pattern recognition techniques and their applications for automatic classification of artificial partial discharge sources. IEEE Transactions on Dielectrics and Electrical Insulation, 20 (2) 6508749, 468-478. doi: 10.1109/TDEI.2013.6508749

Pattern recognition techniques and their applications for automatic classification of artificial partial discharge sources

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

Past funding

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

Completed supervision

Enquiries

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communications@uq.edu.au