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

131 works between 1997 and 2024
All (131) Journal Article (68) Book Chapter (3) Conference Publication (58) Other Outputs (2)

1 - 20 of 131 works

2024

Journal Article

On image transformation for partial discharge source identification in vehicle cable terminals of high‐speed trains

Liu, Kai, Jiao, Shibo, Nie, Guangbo, Ma, Hui, Gao, Bo, Sun, Chuanming, Xin, Dongli, Saha, Tapan K. and Wu, Guangning (2024). On image transformation for partial discharge source identification in vehicle cable terminals of high‐speed trains. High Voltage, 9 (5), 1090-1100. doi: 10.1049/hve2.12487

On image transformation for partial discharge source identification in vehicle cable terminals of high‐speed trains

2024

Journal Article

Research on fault diagnosis method of vehicle cable terminal based on time series segmentation for graph neural network model

Liu, Kai, Nie, Guangbo, Jiao, Shibo, Gao, Bo, Ma, Hui, Fu, Jianmin, Mu, Junbin and Wu, Guangning (2024). Research on fault diagnosis method of vehicle cable terminal based on time series segmentation for graph neural network model. Measurement: Journal of the International Measurement Confederation, 237 114999, 114999. doi: 10.1016/j.measurement.2024.114999

Research on fault diagnosis method of vehicle cable terminal based on time series segmentation for graph neural network model

2024

Journal Article

Investigation of cellulose insulation ageing in transformers retrofilled with ester fluids at different service years

Dixit, Anupam, Ma, Hui, Ekanayake, Chandima, Daghrah, Muhammad and Saha, Tapan Kumar (2024). Investigation of cellulose insulation ageing in transformers retrofilled with ester fluids at different service years. IEEE Transactions on Dielectrics and Electrical Insulation, 31 (4), 2151-2160. doi: 10.1109/tdei.2024.3373557

Investigation of cellulose insulation ageing in transformers retrofilled with ester fluids at different service years

2024

Journal Article

Day-ahead electricity consumption prediction of individual household – capturing peak consumption pattern

Xia, Zhong, Zhang, Ruiyuan, Ma, Hui and Saha, Tapan (2024). Day-ahead electricity consumption prediction of individual household – capturing peak consumption pattern. IEEE Transactions on Smart Grid, 15 (3), 2971-2984. doi: 10.1109/tsg.2023.3332281

Day-ahead electricity consumption prediction of individual household – capturing peak consumption pattern

2024

Journal Article

On vision transformer for ultra-short-term forecasting of photovoltaic generation using sky images

Xu, Shijie, Zhang, Ruiyuan, Ma, Hui, Ekanayake, Chandima and Cui, Yi (2024). On vision transformer for ultra-short-term forecasting of photovoltaic generation using sky images. Solar Energy, 267 112203, 1-12. doi: 10.1016/j.solener.2023.112203

On vision transformer for ultra-short-term forecasting of photovoltaic generation using sky images

2024

Journal Article

Equivalent Bandwidth Matrix of Relative Locations: Image Modeling Method for Defect Degree Identification of In-Vehicle Cable Termination

Liu, Kai, Jiao, Shibo, Nie, Guangbo, Ma, Hui, Gao, Bo, Sun, Chuanming, Xin, Dongli, Kumar Saha, Tapan and Wu, Guangning (2024). Equivalent Bandwidth Matrix of Relative Locations: Image Modeling Method for Defect Degree Identification of In-Vehicle Cable Termination. IEEE Transactions on Instrumentation and Measurement, 73 2536110, 1-10. doi: 10.1109/tim.2024.3481567

Equivalent Bandwidth Matrix of Relative Locations: Image Modeling Method for Defect Degree Identification of In-Vehicle Cable Termination

2023

Conference Publication

Transition towards inverter-based generation with VSG control: low frequency instability prospective

Feng, Jiajie, Bai, Feifei, Nadarajah, Mithulananthan and Ma, Hui (2023). Transition towards inverter-based generation with VSG control: low frequency instability prospective. 2023 IEEE International Conference on Energy Technologies for Future Grids (ETFG), Wollongong, NSW, Australia, 3-6 December 2023. Piscataway, NJ, United States: IEEE. doi: 10.1109/etfg55873.2023.10407495

Transition towards inverter-based generation with VSG control: low frequency instability prospective

2023

Journal Article

Characterization of electrical tree initiation and growth in XLPE under harmonic waveforms

Arachchige, Thanuja Gawasingha, Zhong, Xin, Ekanayake, Chandima, Ma, Hui and Saha, Tapan (2023). Characterization of electrical tree initiation and growth in XLPE under harmonic waveforms. IEEE Transactions on Dielectrics and Electrical Insulation, 30 (5), 1974-1982. doi: 10.1109/tdei.2023.3297556

Characterization of electrical tree initiation and growth in XLPE under harmonic waveforms

2023

Other Outputs

Gatton Sky Image and PV Generation 2020

Xu, Shijie and Ma, Hui (2023). Gatton Sky Image and PV Generation 2020. The University of Queensland. (Dataset) doi: 10.48610/bd7e108

Gatton Sky Image and PV Generation 2020

2023

Journal Article

A CVaR-constrained optimal power flow model for wind integrated power systems considering Transmission-side flexibility

You, Lei, Ma, Hui and Kumar Saha, Tapan (2023). A CVaR-constrained optimal power flow model for wind integrated power systems considering Transmission-side flexibility. International Journal of Electrical Power and Energy Systems, 150 109087, 109087. doi: 10.1016/j.ijepes.2023.109087

A CVaR-constrained optimal power flow model for wind integrated power systems considering Transmission-side flexibility

2023

Journal Article

Evaluation of the field-aged performance of foamed warm mix asphalt: comparisons with hot mix asphalt

Li, Bao, Li, Ning, Yu, Xin, Xie, Jianguang, Zhan, He, Ding, Jian and Ma, Hui (2023). Evaluation of the field-aged performance of foamed warm mix asphalt: comparisons with hot mix asphalt. Case Studies in Construction Materials, 18 e01750, 1-11. doi: 10.1016/j.cscm.2022.e01750

Evaluation of the field-aged performance of foamed warm mix asphalt: comparisons with hot mix asphalt

2023

Journal Article

Seismic evaluation of a traditional Chinese palace-style timber structure

Zhang, Xicheng, Qiu, Zhihao, Wu, Chenwei, Ma, Hui, Huo, Jun and Shi, Mingxin (2023). Seismic evaluation of a traditional Chinese palace-style timber structure. Soil Dynamics and Earthquake Engineering, 169 107878, 1-14. doi: 10.1016/j.soildyn.2023.107878

Seismic evaluation of a traditional Chinese palace-style timber structure

2023

Journal Article

Breakdown Characteristics of Double Vacuum Gaps in Series Under Lightning Impulse Voltage: Optimal Gap Distance Distribution

Shen, Jingyu, Ma, Hui, Li, Junyi, Ding, Jian'gang, Yan, Jing, Liu, Zhiyuan, Geng, Yingsan and Wang, Jianhua (2023). Breakdown Characteristics of Double Vacuum Gaps in Series Under Lightning Impulse Voltage: Optimal Gap Distance Distribution. Ieee Transactions On Dielectrics and Electrical Insulation, 30 (2), 869-876. doi: 10.1109/TDEI.2022.3228763

Breakdown Characteristics of Double Vacuum Gaps in Series Under Lightning Impulse Voltage: Optimal Gap Distance Distribution

2022

Journal Article

Improving the Wind Power Density Forecast in the Middle- and High-Latitude Regions of China by Selecting the Relatively Optimal Planetary Boundary Layer Schemes

Ma, Hui, Cao, Xin, Ma, Xiaolei, Su, Haijing, Jing, Yanwei and Zhu, Kunshuang (2022). Improving the Wind Power Density Forecast in the Middle- and High-Latitude Regions of China by Selecting the Relatively Optimal Planetary Boundary Layer Schemes. Atmosphere, 13 (12) ARTN 2034, 2034. doi: 10.3390/atmos13122034

Improving the Wind Power Density Forecast in the Middle- and High-Latitude Regions of China by Selecting the Relatively Optimal Planetary Boundary Layer Schemes

2022

Journal Article

Seismic damage evaluation of steel reinforced recycled concrete filled circular steel tube composite columns

Ma, Hui, Liu, Xiyang, Chen, Yunchong and Zhao, Yanli (2022). Seismic damage evaluation of steel reinforced recycled concrete filled circular steel tube composite columns. Earthquakes and Structures, 23 (5), 445-462. doi: 10.12989/eas.2022.23.5.445

Seismic damage evaluation of steel reinforced recycled concrete filled circular steel tube composite columns

2022

Journal Article

Influence of pore size distribution on concrete cracking with different AEA content and curing age using acoustic emission and low-field NMR

Li, Yanlong, Ma, Hui, Wen, Lifeng, Yuan, Jianpeng, Zhang, Ye, Li, Yang, Zhou, Heng and Chen, Junhao (2022). Influence of pore size distribution on concrete cracking with different AEA content and curing age using acoustic emission and low-field NMR. Journal of Building Engineering, 58 105059, 1-12. doi: 10.1016/j.jobe.2022.105059

Influence of pore size distribution on concrete cracking with different AEA content and curing age using acoustic emission and low-field NMR

2022

Journal Article

Fragmentation analyses of rocks under high-velocity impacts using the combined finite-discrete element simulation

Yang, Tao, Ma, Hui, Weng, Lei, Liu, Yang, Chu, Zhaofei, Zhang, Penglin, Jin, Gang and Chang, Weixue (2022). Fragmentation analyses of rocks under high-velocity impacts using the combined finite-discrete element simulation. Frontiers in Earth Science, 10 ARTN 998521. doi: 10.3389/feart.2022.998521

Fragmentation analyses of rocks under high-velocity impacts using the combined finite-discrete element simulation

2022

Journal Article

Domain structure and optical band gap of MnO<sub>2</sub> doped (K,Na)NbO<sub>3</sub>-LiTaO<sub>3</sub> thin films

Li, Jiaqi, Wang, Junjun, Wang, Bingsen, Yang, Miao, Huang, Minghao, Deng, Yunfeng, Ma, Hui and Wu, Fengmin (2022). Domain structure and optical band gap of MnO2 doped (K,Na)NbO3-LiTaO3 thin films. Ferroelectrics, 597 (1), 35-43. doi: 10.1080/00150193.2022.2091996

Domain structure and optical band gap of MnO<sub>2</sub> doped (K,Na)NbO<sub>3</sub>-LiTaO<sub>3</sub> thin films

2022

Conference Publication

Cloud Feature Extraction and Fluctuation Pattern Recognition Based Ultrashort-Term Regional PV Power Forecasting

Wang, Fei, Li, Jianan, Zhen, Zhao, Wang, Chao, Ren, Hui, Ma, Hui, Zhang, Wei and Huang, Lang (2022). Cloud Feature Extraction and Fluctuation Pattern Recognition Based Ultrashort-Term Regional PV Power Forecasting. 3rd IEEE Student Conference on Electrical Machines and Systems (SCEMS), Jinan Peoples R China, Dec 04-06, 2020. PISCATAWAY: IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC. doi: 10.1109/TIA.2022.3186662

Cloud Feature Extraction and Fluctuation Pattern Recognition Based Ultrashort-Term Regional PV Power Forecasting

2022

Journal Article

Analysis of Factors Related to Neonatal Infection and Monitoring of Bacterial Drug Resistance

Xu, Jingwen, Zhang, Yanhong, Ma, Hui, Zhang, Renyan and Wu, Jie (2022). Analysis of Factors Related to Neonatal Infection and Monitoring of Bacterial Drug Resistance. Zeitschrift Fur Geburtshilfe Und Neonatologie, 226 (06), 399-404. doi: 10.1055/a-1850-2475

Analysis of Factors Related to Neonatal Infection and Monitoring of Bacterial Drug Resistance

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

    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

    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

  • 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

Enquiries

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