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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

136 works between 1997 and 2025

61 - 80 of 136 works

2017

Journal Article

An electromechanical model for the estimation of breakdown voltage in stretchable dielectric elastomer

Liu, Xuejing, Jia, Shuhai, Li, Bo, Xing, Yu, Chen, Hualing, Ma, Hui and Sheng, Junjie (2017). An electromechanical model for the estimation of breakdown voltage in stretchable dielectric elastomer. IEEE Transactions on Dielectrics and Electrical Insulation, 24 (5) 8120369, 3099-3112. doi: 10.1109/TDEI.2017.006599

An electromechanical model for the estimation of breakdown voltage in stretchable dielectric elastomer

2017

Journal Article

On Savitzky-Golay filtering for online condition monitoring of transformer on-load tap changer

Seo, Junhyuck, Ma, Hui and Saha, Tapan (2017). On Savitzky-Golay filtering for online condition monitoring of transformer on-load tap changer. IEEE Transactions on Power Delivery, 33 (4), 1689-1698. doi: 10.1109/TPWRD.2017.2749374

On Savitzky-Golay filtering for online condition monitoring of transformer on-load tap changer

2017

Journal Article

Bayesian information fusion for probabilistic health index of power transformer

Li, Shuaibing, Ma, Hui, Saha, Tapan and Wu, Guangning (2017). Bayesian information fusion for probabilistic health index of power transformer. IET Generation, Transmission and Distribution, 12 (2), 279-287. doi: 10.1049/iet-gtd.2017.0582

Bayesian information fusion for probabilistic health index of power transformer

2017

Other Outputs

Development of smart power transformers with intelligent monitoring, diagnostic and life management systems

Saha, Tapan K., Ma, Hui, Ekanayake, Chandima and Martin, Dan (2017). Development of smart power transformers with intelligent monitoring, diagnostic and life management systems. St Lucia, QLD Australia: University of Queensland.

Development of smart power transformers with intelligent monitoring, diagnostic and life management systems

2017

Book Chapter

Smart Transformer Condition Monitoring and Diagnosis

Ma, Hui and Saha, Tapan (2017). Smart Transformer Condition Monitoring and Diagnosis. Transformer Ageing: Monitoring and Estimation Techniques. (pp. 403-439) edited by Tapan Kumar Saha and Prithwiraj Purkait. Singapore, Singapore: John Wiley & Sons.

Smart Transformer Condition Monitoring and Diagnosis

2017

Conference Publication

A review on influencing factors of sulphur corrosion and metal passivation in power transformers

Samarasinghe, W. M. S. C., Martin, D., Ma, H. and Saha, T. K. (2017). A review on influencing factors of sulphur corrosion and metal passivation in power transformers. Australasian Universities Power Engineering Conference (AUPEC), Melbourne, Australia, 19-22 November 2017. Piscataway, NJ, United States: IEEE. doi: 10.1109/AUPEC.2017.8282416

A review on influencing factors of sulphur corrosion and metal passivation in power transformers

2017

Book Chapter

Dissolved Gas Analysis Interpretation and Intelligent Machine Learning Techniques

Cui, Yi, Saha, Tapan and Ma, Hui (2017). Dissolved Gas Analysis Interpretation and Intelligent Machine Learning Techniques. Transformer Ageing: Monitoring and Estimation Techniques. (pp. 211-243) edited by Tapan Kumar Saha. Singapore: John Wiley & Sons.

Dissolved Gas Analysis Interpretation and Intelligent Machine Learning Techniques

2017

Conference Publication

PDTools: a toolbox of Partial Discharge (PD) signal analysis for transformer condition assessment

Ma, Hui, Saha, Tapan, Seo, Junhyuck, Chan, Jeffery and Cui, Yi (2017). PDTools: a toolbox of Partial Discharge (PD) signal analysis for transformer condition assessment. 2017 IEEE Power & Energy Society General Meeting, Chicago, IL, United States, 16-20 July 2017. Piscataway, NJ, United States: IEEE Computer Society. doi: 10.1109/PESGM.2017.8273888

PDTools: a toolbox of Partial Discharge (PD) signal analysis for transformer condition assessment

2017

Conference Publication

Understanding the Effect of Non-Uniform Ageing on Dielectric Response of Transformer Insulation

Cui, Yi, Ma, Hui, Saha, Tapan and Liu, Yilu (2017). Understanding the Effect of Non-Uniform Ageing on Dielectric Response of Transformer Insulation. 2017 IEEE Power & Energy Society General Meeting, Chicago, IL, United States, 16-20 July 2017. Piscataway NJ, United States: IEEE Computer Society. doi: 10.1109/PESGM.2017.8274446

Understanding the Effect of Non-Uniform Ageing on Dielectric Response of Transformer Insulation

2017

Book Chapter

Advanced Signal Processing Techniques for Partial Discharge Measurement

Chan, Jeffery, Saha,Tapan and Ma, Hui (2017). Advanced Signal Processing Techniques for Partial Discharge Measurement. Transformer Ageing: Monitoring and Estimation Techniques. (pp. 245-302) Singapore: John Wiley & Sons.

Advanced Signal Processing Techniques for Partial Discharge Measurement

2016

Journal Article

Moisture dependent thermal modelling of power transformer

Cui, Yi, Ma, Hui, Saha, Tapan, Ekanayake, Chandima and Martin, Daniel (2016). Moisture dependent thermal modelling of power transformer. IEEE Transactions On Power Delivery, 31 (5) 7470291, 2140-2150. doi: 10.1109/TPWRD.2016.2569123

Moisture dependent thermal modelling of power transformer

2016

Journal Article

Multi-physics modelling approach for investigation of moisture dynamics in power transformers

Cui, Yi, Ma, Hui, Saha, Tapan, Ekanayake, Chandima and Wu, Guangning (2016). Multi-physics modelling approach for investigation of moisture dynamics in power transformers. IET Generation Transmission and Distribution, 10 (8), 1993-2001. doi: 10.1049/iet-gtd.2015.1459

Multi-physics modelling approach for investigation of moisture dynamics in power transformers

2016

Journal Article

A Novel Signal Extraction Technique for Online Partial Discharge (PD) Measurement of Transformers

Seo, Junhyuck, Ma, Hui and Saha, Tapan (2016). A Novel Signal Extraction Technique for Online Partial Discharge (PD) Measurement of Transformers. International transactions on electrical energy systems, 26 (5), 1032-1048. doi: 10.1002/etep.2121

A Novel Signal Extraction Technique for Online Partial Discharge (PD) Measurement of Transformers

2016

Journal Article

Performance of natural ester as a transformer oil in moisture-rich environments

Bandara, Kapila, Ekanayake, Chandima, Saha, Tapan and Ma, Hui (2016). Performance of natural ester as a transformer oil in moisture-rich environments. Energies, 9 (4) 258, 258. doi: 10.3390/en9040258

Performance of natural ester as a transformer oil in moisture-rich environments

2016

Journal Article

A joint vibration and arcing measurement system for online condition monitoring of on-load tap changer of power transformer

Seo, Junhyuck, Ma, Hui and Saha, Tapan (2016). A joint vibration and arcing measurement system for online condition monitoring of on-load tap changer of power transformer. IEEE Transactions on Power Delivery, 32 (2) 7410100, 1031-1038. doi: 10.1109/TPWRD.2016.2531186

A joint vibration and arcing measurement system for online condition monitoring of on-load tap changer of power transformer

2016

Journal Article

Particle tracing modelling on moisture dynamics of oil-impregnated transformer

Cui, Yi, Ma, Hui, Saha, Tapan, Ekanayake, Chandima and Martin, Daniel (2016). Particle tracing modelling on moisture dynamics of oil-impregnated transformer. IET Science, Measurement and Technology, 10 (4), 335-343. doi: 10.1049/iet-smt.2015.0196

Particle tracing modelling on moisture dynamics of oil-impregnated transformer

2016

Conference Publication

Multi-source information fusion for power transformer condition assessment

Cui, Yi, Ma, Hui and Saha, Tapan (2016). Multi-source information fusion for power transformer condition assessment. IEEE Power and Energy Society General Meeting, Boston, MA, United States, 17-21 July 2016. Piscataway, NJ, United States: IEEE. doi: 10.1109/PESGM.2016.7741121

Multi-source information fusion for power transformer condition assessment

2016

Conference Publication

Smart monitoring of power transformers: project update

Saha, T. K., Martin, D., Ma, H., Ekanayake, C., Russell, G., Buckley, G., Gray, T. and Caldwell, G. (2016). Smart monitoring of power transformers: project update. CIGRE Session 46, Paris, France, 21-26 August 2016. CIGRE.

Smart monitoring of power transformers: project update

2015

Journal Article

The impact of smart grid technology on dielectrics and electrical insulation

Catterson, V. M., Castellon, J., Pilgrim, J. A., Saha, T. K., Ma, H., Vakilian, M., Moradnouri, A., Gholami, M. and Sparling, B. D. (2015). The impact of smart grid technology on dielectrics and electrical insulation. IEEE Transactions on Dielectrics and Electrical Insulation, 22 (6) 7367548, 3505-3512. doi: 10.1109/TDEI.2015.00518

The impact of smart grid technology on dielectrics and electrical insulation

2015

Journal Article

Hybrid method on signal de-noising and representation for online partial discharge monitoring of power transformers at substations

Chan, Jeffery C., Ma, Hui and Saha, Tapan K. (2015). Hybrid method on signal de-noising and representation for online partial discharge monitoring of power transformers at substations. IET Science, Measurement and Technology, 9 (7), 890-899. doi: 10.1049/iet-smt.2014.0358

Hybrid method on signal de-noising and representation for online partial discharge monitoring of power transformers at substations

Funding

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

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

    Sensing, Signal Processing and Learning for Power System Asset Management

    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

    Improving condition assessment for electrical assets reliability and resilience

    Principal Advisor

    Other advisors: Dr Chandima Ekanayake

  • Doctor Philosophy

    Home Energy Managment System

    Principal Advisor

    Other advisors: Dr Chandima Ekanayake

  • Doctor Philosophy

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

    Principal Advisor

    Other advisors: Dr Chandima Ekanayake

  • Master Philosophy

    Mitigation of Power Transformer failure due to Corrosive Sulphur

    Associate Advisor

    Other advisors: Professor Tapan Saha, Dr Chandima Ekanayake

  • Doctor Philosophy

    Assessment of Oscillations in Inverter-Dominated Grids and Their Mitigation with Wide-Area GFM Control

    Associate Advisor

    Other advisors: Dr Feifei Bai, Professor Mithulan Nadarajah

  • Doctor Philosophy

    Digital Twin of Transformer

    Associate Advisor

    Other advisors: Dr Chandima Ekanayake, Professor Tapan Saha

  • 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

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

    Associate Advisor

    Other advisors: Professor Tapan Saha, Dr Chandima Ekanayake

Completed supervision

Media

Enquiries

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