Publications

Prof. Zhang has published more than 200 journal and conference papers, include 1 book, 2 book chapters, and 9 patents. 

Book and book chapters

  1. D. Wang, Y. Ye, B. Zhang, Practical Iterative Learning Control with Frequency Domain Design and Sampled Data Implementation, Springer, 2014. https://www.springer.com/us/book/9789814585590
  2. B. Zhang, Prognostics: A Battery Case Study, in book: Fault Diagnosis for Inverter Power Drives, Ed. Antonio Ginart. IET Publisher, 2018. https://www.theiet.org/resources/books/pow-en/pow-drives.cfm
  3. B. Zhang, T. Khawaja, R. Patrick, G. Vachtsevanos, M. Orchard, and A. Saxena, A Novel Blind Deconvolution De-Noising Scheme in Failure Prognosis, in book: Applications of Intelligent Control to Engineering Systems, Ed. Kimon P. Valavanis, Springer, 2009. Also appears at: Transactions of the Institute of Measurement & Control, 32(1), 2010.

Journal papers:

  1. E. Liu*, G. Niu*, D. Lyu, T. Yang, B. Zhang, Low-Cost Adaptive LS-DEKF for SOC Estimation and RDT Prediction with SFP Model IEEE Transactions on Instrumentation & Measurement, in press 2023
  2. G Niu*, E. Liu*, X. Wang*, and B. Zhang, A Hybrid Bearing Prognostic Method with Fault Diagnosis and Model Fusion, IEEE Transactions on Industrial Informatics, in press 2023
  3. A. Li, B. Zhang, P. Ziehl, A transfer learning approach for acoustic emission zonal localization on steel plate-like structure using numerical simulation and unsupervised domain adaptation, Mechanical Systems and Signal Processing
  4. K. Zhou, C. Tang, Y. Chen, B. Zhang, W. Lu, A Generic Multi-Frequency Repetitive Control Scheme for Power Converters, IEEE Transactions on Industrial Electronics, in press, 2023
  5. X. Jin, H. Pan, C. Ying, Z. Kong, Z. Xu, B. Zhang, Condition Monitoring of Wind Turbine Generator Based on Transfer Learning and One-Class Classifier, IEEE Sensors Journal, in press, 2022
  6. B. Wang*, Y. Liu, B. Zhang, Establishment and system stability analysis of high-speed train bearing system under variable speed conditions, International Journal of Mechanical System Dynamics, in press 2022
  7. X. Wang*, M. Imran, M. Ali, B. Zhang, Inter-digital Capacitor Sensor based Cable Health Monitoring, IEEE Transactions on Industrial Electronics, in press, 2022
  8. E. Liu*, X. Wang*, G. Niu*, D. Lyu, T. Yang, B. Zhang, Uncertainty Management in Lebesgue Sampling-based Li-ion Battery SFP Model for SOC Estimation and RDT Prediction, IEEE/ASME Transactions on Mechatronics, in press, 2022
  9. D. Lyu, G. Niu, E. Liu*, B. Zhang, G. Chen, T. Yang, E. Zio, Time space modelling for fault diagnosis and prognosis with uncertainty management: a general theoretical formulation, Reliability Engineering and System Safety, vol. 226 in press, 2022.
  10. Z. Kong, X. Jin, Z. Xu, and B. Zhang, Spatio-temporal Fusion Attention: A Novel Approach for Remaining Useful Life Prediction based on Graph Neural Network, IEEE Transactions on Instrumentation & Measurement, in press, 2022
  11. G. Niu*, E. Liu*, X. Wang*, P. Ziehl, B. Zhang, Enhanced Discriminate Feature Learning Deep Residual CNN for Multi-task Bearing Fault Diagnosis with Information Fusion, IEEE Transactions on Industrial Informatics, in press, 2022
  12. B. Wang, W. Chen, B. Zhang, P. Shi, H. Zhang, A nonlinear observer-based approach to robust cooperative tracking for heterogeneous spacecraft attitude control and formation applications, IEEE Transactions on Automatic Control, in press, 2022
  13. Y. Liu, B. Wang*, B. Zhang, S. Yang, Establishment of Dynamic Model for Axle Box Bearing of High-Speed Trains Under Variable Speed Conditions, Chinese Journal of Mechanical Engineering, 35, 47, 2022

Refereed Conference Articles

  1. D. Lyu, B. Zhang, E. Zio, T. Yang, The explainable uncertainty in degradation process: a discovery from ono-accelerated batteries degradation experiment, Annual Conference of the IEEE Industrial Electronics Society (IECON), 2022, Brussels, Belgium
  2. X. Wang, B. Zhang, Wire fault classification based on multi-frequency time domain transmission, Annual Conference of the IEEE Industrial Electronics Society (IECON), 2022, Brussels, Belgium
  3. E. Liu, G. Niu, X. Wang, B. Zhang, SOH diagnostic and prognostic based on external health indicator of Lithium-ion battery, Annual Conference of the IEEE Industrial Electronics Society (IECON), 2021, Toronto Canada
  4. X. Wang, A. Arman, M. Ali, B. Zhang, Cable Insulation Aging Simulation, Annual Conference of the IEEE Industrial Electronics Society (IECON), 2021, Toronto Canada
  5. G. Niu, E. Liu, P. Ziehl, and B. Zhang, A Two Stream Convolutional Neural Network for Bearing Fault Diagnosis with Data Fusion, American Society of Naval Engineers (ASNE), Intelligent Ships Symposium, Philadelphia, PA, 2021 
  6. E. Liu, G. Niu, B. Zhang, State of Charge Estimation and Remaining-dischargeable-time Prediction Based on Simplified First Principal Model for Lithium-Ion Batteries, American Society of Naval Engineers (ASNE), Intelligent Ships Symposium, Philadelphia, PA, 2021 
  7. G. Niu*, E. Liu*, B. Zhang, M. Golda, S. Mastro, A Deep Residual Convolutional Neural Network based Bearing Fault Diagnosis with Multi-sensor Data, IEEE International Conference on Industrial Cyber-Physical Systems (ICPS), Victoria, Canada, 2021
  8. D. Lyu, G. Niu*, T. Yang, G. Chen, and B. Zhang, Uncertainty Analysis in the Application of Fault Diagnosis and Prognosis, IEEE International Conference on Industrial Cyber-Physical Systems (ICPS), Victoria, Canada, 2021
  9. B. Wang, B. Zhang, X. Fang, Y. Zhao, Swarm cooperative control of heterogeneous industrial cyber-physical systems: a distributed observer approach, IEEE International Conference on Industrial Cyber-Physical Systems (ICPS), Victoria, Canada, 2021 
  10. B. Wang, Y. Zhao, C. Shen, H. Liu, D. Zhang, X. Liang, B. Zhang, L. Zhang, Resilient and Networked Control of Complex Cyber-Physical Systems, 21st IFAC World Congress, 2020, Berlin, Germany.