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Dr Zhiwei Gao

Associate Professor

Department: Mathematics, Physics and Electrical Engineering

Dr David (Zhiwei) Gao

Reader. Department: Mathematics, Physics and Electrical Engineering

Dr. Gao joined Northumbria University in 2011, and he is the Head of Electrical Power and Control Systems Research Group. Before joining Northumbira University, he held research and academic positions respectively in Newcaslte University, University of Liverpool, University of Leicester, University of Manchester, University of Duisburg-Essen, and Tianjin University. 

Dr. Gao is the senior member of IEEE, and HEA fellow. He was the recipient of the Alexander von Humboldt Reserach Fellowship in 2004.

Dr. Gao is currently the Associate Editor of IEEE Transactions on Systems, Man, and Cybernetics: Systems, IEEE Transactions on Industrial Informatics, IEEE Transactions on Industral Electronics, IEEE Transactions on Automatic Control and the editorial board member of Renewable Energy (Elsevier). 

The following special issues are open for the submission:

The special issue ``Real-time monitoring, fault prediction and health management for offshore wind turbine systems'' in Renewable Energy is open for the submission. 

For the publication information, please see the Google Shcolar.

 

 

Zhiwei Gao

Condition monitoring and fault diagnosis, fault tolerant design and control, machine learning and data-driven approaches, and their applications in wind turbine systems, power converters, power systems, onshore and offshore renewable energy systems. 

  • Please visit the Pure Research Information Portal for further information
  • A deep learning-based fault diagnosis of leader-following systems, Liu, X., Lu, X., Gao, Z. 2022, In: IEEE Access
  • Anti-Saturation-Based Adaptive Sliding-Mode Control for Active Suspension Systems With Time-Varying Vertical Displacement and Speed Constraints, Chen, H., Liu, Y., Liu, L., Tong, S., Gao, Z. Jul 2022, In: IEEE Transactions on Cybernetics
  • Biometrics in Industry 4.0: Open Challenges and Future Perspectives, Gao, Z., Castiglione, A., Nappi, M. 9 Aug 2022, In: IEEE Transactions on Industrial Informatics
  • Class-Imbalance Privacy-Preserving Federated Learning for Decentralized Fault Diagnosis With Biometric Authentication, Lu, S., Gao, Z., Xu, Q., Jiang, C., Zhang, A., Wang, X. 12 Jul 2022, In: IEEE Transactions on Industrial Informatics
  • Cloud-Based Event-Triggered Predictive Control for Heterogeneous NMASs Under Both DoS Attacks and Transmission Delays, Yin, X., Gao, Z., Yue, D., Hu, S. 28 Mar 2022, In: IEEE Transactions on Systems, Man, and Cybernetics: Systems
  • Convolutional neural network fault classification based on time-series analysis for benchmark wind turbine machine, Rahimilarki, R., Gao, Z., Jin, N., Zhang, A. 1 Feb 2022, In: Renewable Energy
  • Coordinated Electric Vehicle Active and Reactive Power Control for Active Distribution Networks, Wang, Y., Qiu, D., Strbac, G., Gao, Z. 25 Apr 2022, In: IEEE Transactions on Industrial Informatics
  • Detecting Enclosed Board Channel of Data Acquisition System Using Probabilistic Neural Network with Null Matrix, Zhang, D., Lin, Z., Gao, Z. 25 Jul 2022, In: Sensors
  • Fault Diagnosis and Fault-Tolerant Control of Energy Maximization for Wave Energy Converters, Zhang, Y., Zeng, T., Gao, Z. 1 Jul 2022, In: IEEE Transactions on Sustainable Energy
  • Guest Editorial: Digital Twinning: Integrating AI-ML and Big Data Analytics for Virtual Representation, Gao, Z., Paul, A., Wang, X. 1 Feb 2022, In: IEEE Transactions on Industrial Informatics

  • Xiaoxu Liu Fault estimation and fault tolerant control with application to wind turbine systems Start Date: 01/10/2014 End Date: 26/03/2018
  • Sarah Odofin Robust Fault Diagnosis by GA Optimisation with Applications to Wind Turbine Systems and Induction Motors Start Date: 31/01/2013 End Date: 27/02/2017
  • Yichuan Fu Data-Driven Fault Classification for Wind Turbine Systems Start Date: 01/02/2016 End Date: 21/04/2021
  • Reihane Rahimilarki Fault Diagnosis for Wind Turbine Systems by Using Neural Network and Deep Learning Techniques Start Date: 01/10/2017 End Date: 19/07/2021

  • Engineering PhD April 14 1996
  • Fellow (FHEA) Higher Education Academy (HEA) 2015
  • Senior member Institute of Electrical & Electronic Engineers (IEEE) 2009


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