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Dr Zhiwei Gao

Associate Professor

Department: Mathematics, Physics and Electrical Engineering

Dr David (Zhiwei) Gao

Reader, Associate Professor, Department: Mathematics, Physics and Electrical Engineering

 

Dr. Gao joined Northumbria University in 2011.

Dr. Gao is currently the Associate Editor of IEEE Transactions on Automatic Control, IEEE Transactions on Industrial Informatics, IEEE Transactions on Industrial Electronics, ISA Transactions, and IEEE Access. He is the editorial board member of Renewable Energy.

 

As a Guest Editor, he organised the special issues ``Data-driven approaches for complex industrial systems’’, ``Real-time fault diagnosis and fault-tolerant control’’, ``Real-time monitoring, prognosis and resilient control for wind energy systems’’, and ``Digital twinning: integrating AI-ML and big data analytics for virtual representation’’ respectively in IEEE Transactions on Industrial Informatics (2013), IEEE Transactions on Industrial Electronics (2015), Renewable Energy (2018),  and IEEE Transactions on Industrial Informatics (2020).

Dr. Gao is the senior member of IEEE, and HEA fellow.

For further information visit  https://scholar.google.co.uk/citations?user=n8nkt-0AAAAJ&hl=en

Zhiwei Gao

Key Publications

  • Please visit the Pure Research Information Portal for further information
  • Actuator and Sensor Fault Classification for Wind Turbine Systems Based on Fast Fourier Transform and Uncorrelated Multi-Linear Principal Component Analysis Techniques, Fu, Y., Gao, Z., Liu, Y., Zhang, A., Yin, X. 1 Sep 2020, In: Processes
  • Advances in Modelling, Monitoring, and Control for Complex Industrial Systems, Gao, Z., Nguang, ., Kong, D. 27 Feb 2019, In: Complexity
  • Integrated Sensor Fault Diagnosis and Fault-Tolerant Control for Manipulator, Hong, B., Yao, L., Gao, Z. 1 Oct 2019, In: Journal of Control Science and Engineering
  • Observer-based Fault Estimation and Tolerant Control for Stochastic Takagi-Sugeno Fuzzy Systems with Brownian Parameter Perturbations, Liu, X., Gao, Z., Zhang, A. 7 Feb 2019, In: Automatica
  • Robust neural network fault estimation approach for nonlinear dynamic systems with applications to wind turbine systems, Rahimilarki, R., Gao, Z., Zhang, A., Binns, R. 5 Dec 2019, In: IEEE Transactions on Industrial Informatics
  • Synchronization of Pulse-Coupled Oscillators for IEEE 802.15.4 Multi-Hop Wireless Sensor Networks, Zong, Y., Dai, X., Gao, Z., Busawon, K., Binns, R., Elliott, I. 21 Feb 2019, 2018 IEEE Global Communications Conference, GLOBECOM 2018 - Proceedings, Institute of Electrical and Electronics Engineers Inc.
  • Time Synchronization of Pulse-Coupled Oscillators for Smart Grids, Zong, Y., Dai, X., Busawon, K., Gao, Z., Binns, R. 21 Jan 2019, 2018 5th International Symposium on Environment-Friendly Energies and Applications (EFEA), IEEE
  • A Novel Fault Detection with Minimizing the Noise-Signal Ratio Using Reinforcement Learning, Zhang, D., Lin, Z., Gao, Z. 13 Sep 2018, In: Sensors (Switzerland)
  • Chattering-free discrete-time sliding mode control with event-trigger strategy, Wang, J., Gao, Z., Fu, Y. 18 Jul 2018, 2018 IEEE 16th International Conference on Industrial Informatics (INDIN), IEEE
  • Condition monitoring for the quadruple water tank system using H-infinity Kalman Filtering, Rigatos, G., Serpanos, D., Siadimas, V., Busawon, K., Gao, Z., Siano, P., Abbaszadeh, M. 7 Aug 2018, In: MATEC Web of Conferences

Qualifications

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

PGR Supervision

  • Yichuan Fu Data-Driven Fault Classification for Wind Turbine Systems Start: 01/02/2016
  • Reihane Rahimilarki Fault diagnosis for wind turbine systems by using neural network and deep learning techniques Start: 01/10/2017
  • Xiaoxu Liu Fault estimation and fault tolerant control with application to wind turbine systems Start: 01/10/2014


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