Conference papers

2022

  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
    2021
  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
    2020
  10. B. Feirer, P. Ziehl, R. Anay, M. Bayat, B. Zhang, E. Golda, Acoustic emission damage evaluation of rolling element bearings for shipboard machinery, Nondestructive Characterization and Monitoring of Advanced Materials, Aerospace, Civil Infrastructure, and Transportation IX, 2020
  11. 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.
    2019
  12. G. Niu, B. Zhang, P. Ziehl, F. Ferrese, M. Golda, Rolling Element Bearing Fault Diagnosis based on with Deep Belief Network and Principal Component Analysis, Annual Conference on Prognostics and Health Management, 2019, Scottsdale, AZ USA
  13. E. Liu, G. Niu, S. Tang, B. Zhang, J. Williams, R. Martin, C. Moore, Permanent Magnet Synchronous Motor Winding Fault Simulation and Diagnosis, Annual Conference on Prognostics and Health Management, 2019, Scottsdale, AZ USA
  14. D. Le, Z. Liu, J. Jin, K. Zhang, and B. Zhang, Historical improvement optimal motion planning with model predictive trajectory optimization for on-road autonomous vehicle, IEEE IECON 2019
  15. Z. Liu, D. Le, K. Zhang, R. Chen, D. Huang, and B. Zhang, Iterative Trajectory Optimization for Real-time Motion Planner of Autonomous Driving, IEEE International Conference on Sensing, Diagnosis, Prognosis, and Control (SDPC), Beijing, 2019
  16. D. Lyu, G. Niu, D. Hu, C. Gang, T. Yang, B. Zhang, A Lebesgue-Time-Space-Model and Particle Filter Based Diagnosis and Prognosis Method, IEEE International Conference on Sensing, Diagnosis, Prognosis, and Control (SDPC), Beijing, 2019
  17. Z. Liu, D. Le, K. Zhang, B. Zhang, Real-time Motion Control with Iterative Optimization and Robustness Analysis of Autonomous Driving, IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM 2019), Hong Kong, July 2019
  18. B. Wang, B. Zhang, Stable Consensus for Heterogeneous Nonlinear Multi-agent Systems with Non-zero Inputs, the 28th International Symposium on Industrial Electronics (IEEE-ISIE 2019), Vancouver, Canada
    2018
  19. G. Niu*, S. Tang*, and B. Zhang, Machine condition prediction based on long short term memory and particle filtering, 2018 44th Annual Conference of the IEEE Industrial Electronics Society (IECON), Washington, D.C.
  20. S. Tang*, G. Niu*, B. Zhang, A. Thakker, S. Vivanco, R. Martin, C. Moore, Automated contingency management for water recycling system, Annual Conference on Prognostics and Health Management, 2018, Philadelphia, PA USA
  21. G. Niu* and B. Zhang, Fault diagnosis and prognosis based on deep belief network and particle filtering, Annual Conference on Prognostics and Health Management, 2018, Philadelphia, PA USA
  22. E. Mayfield*, G. Niu*, B. Zhang, P. Ziehl, M. Golda, An integrated health management system approach: application to shipboard rotating machinery, Annual Conference on Prognostics and Health Management, 2018, Philadelphia, PA USA
  23. K. Zhou, Z. Wang, Y. Yang, S. Li, Q. Chen and B. Zhang, Unified Digital Periodic Controller for Power Converter Systems, 2018 IEEE International Power Electronics and Application Conference and Exposition (PEAC), Shenzhen, China.
  24. W. Yao, Y. Yang, J. Du, W. Wang, C. Li, and B. Zhang, High Efficiency Resonant Coil Design for Wireless Energy Transmission System, 2018 IEEE International Power Electronics and Application Conference and Exposition (PEAC), Shenzhen, China.
  25. C. A. Reyes, F. Jaramillo, B. Zhang, C. Kulkarni, M. Orchard, Just-in-time point prediction using a computationally-efficient Lebesgue-sampling-based prognostic method: application to battery end-of-discharge prediction, Annual Conference on Prognostics and Health Management, 2018, Philadelphia, PA USA
  26. B. Wang, X. Fang and B. Zhang, Cooperative Control for Industrial Multi-agent Systems: Framework and Problems, 2018 IEEE Chinese Control Conference, Wuhan, China.
  27. S. Hu, L. Wang, C. Gao, Z. Liu*, B. Zhang and S. Yang, Non-intrusive Cable Fault Diagnosis Based on Inductive Directional Coupling, IEEE International Conference on Sensing, Diagnostics, Prognostics, and Control (SDPC), 2018 Xi’an, China. Best paper award
  28. S. Tang*, B. Zhang, W. Yan*, A. Thakker, S. Vivance, A. Kashami-Pour, R. Martin, C. Moore, Operation-Aware ISHM for Environmental Control and Life Support in Deep Space Habitants, AIAA SciTech, 2018, Orlando FL.
    2017
  29. G. Zhao*, G. Zhang, B. Zhang, G. Niu*, C. Hu, Bearing Health Condition Prediction Using Deep Belief Network, Annual Conference of Prognostics and Health Management Society, 2017, Orlando FL.
  30. W. Yan*, B. Zhang, G. Niu*, S. Tang*, State-of-Charge Estimation of Lithium-ion Batteries by Lebesgue Sampling-Based EKF Method, 43rd Annual Conference of the IEEE Industrial Electronics Society (IECON), 2017, Beijing China
  31. Z. Liu*, B. Zhang, K. Zhou*, Virtual Variable Sampling Discrete Fourier Transform based Selective Harmonic Repetitive Control of DC/AC Converters, 43rd Annual Conference of the IEEE Industrial Electronics Society (IECON), 2017, Beijing China
  32. B. Wang, W. Chen, J. Wang, B. Zhang, Z. Zhang, H. Lin, and B. Ma, Optimal tracking cooperative control for multi-agent systems with periodic sampling via robust model predictive control approach, the 36th IEEE Chinese Control Conference, 2017
  33. G. Zhao*, G. Zhang, Y. Liu, B. Zhang, and C. Hu, Lithium-ion Battery Remaining Useful Life Prediction with Deep Belief Network and Relevance Vector Machine, 2017 IEEE International Conference on Prognostics and Health Management (ICPHM). 2017, Denver, CO
  34. Z. Liu*, B. Zhang, and K. Zhou*, Virtual Delay Unit Based Digital nk±m-order Harmonic Repetitive Controller for PWM Converters, IEEE International Conference on Industrial Technology (ICIT), 2017, Toronto Canada
    2016
  35. W. Yan*, M. Abdelrahman, B. Zhang, and Paul Ziehl, Particle Filtering Based Structural Assessment with Acoustic Emission Sensing. In the Proceedings of 43rd Annual Review of Progress in Quantitative Nondestructive Conference (QNDE’16), 2016
  36. W. Yan*, B. Zhang, and M. Orchard, Parameters Optimization of Lebesgue Sampling-Based Fault Diagnosis and Prognosis with Application to Li-Ion Batteries, Annual Conference on Prognostics & Health Management (PHM’16), 2016, Denver, CO
  37. B. Wang, J. Wang, H. Zhu, B. Zhang, X. Li, X. Wang, L. Dai, and R. Wang, Dynamic Fault Tolerant Control for Multi-agent Uncertain System with Intermittent Sampling. IEEE Conference on Decision and Control (CDC’16), 2016, pp 63-68.
  38. X. Li, B. Wang, J. Wang, B. Zhang, H. Lin, X. Li, Event-triggered Consensus Tracking for Multi-Agent Systems with Nonlinear Uncertainty Dynamics, IEEE Chinese Control Conference (CCC’16), 2016, pp 7820-7825
  39. W. Yan* and B. Zhang, Uncertainty Management in Lebesgue Sampling-based Fault Diagnosis and Prognosis, Proc. of the ASME 2016 Pressure Vessels & Piping Conference (PVP’16), July, 2016, Vancouver, Canada
  40. W. Yan* and B. Zhang, Extended Kalman filter development in Lebesgue sampling framework with an application to Li-ion battery diagnosis and prognosis, the 3rd European Conference of the Prognostics and Health Management Society (PHME) 2016, Bilbao, Spain
  41. B. Wang, Y. Wang, B. Zhang, F. Li, J. Wang, H. Lin, X. Li, Explicit Adaptive Synchronization of Multi-agent Uncertain Systems with Heterogeneous Dynamic Networks, 2016 IEEE American Control Conference (ACC), pp. 1042-1047, doi: 10.1109/ACC.2016.7525052.
  42. Z. Liu, B. Zhang, K. Zhou*, Fractional-order Phase Lead Compensation for Multi-rate Repetitive Control on Three-phase PWM DC/AC Inverter, the IEEE Applied Power Electronics Conference (APEC), Long Beach CA, March 2016, pp. 1155-1162.
    2015
  43. W. Yan*, W. Dou, D. Liu, Y. Peng, B. Zhang, Parameter adaptation of Lebesgue sampling-based diagnosis and prognosis for li-ion batteries, International Conference on Prognostics & Health Management, 2015, San Diego, CA

  44. J. Weddington*, W. Yan*, W. Dou, B. Zhang, Battery fault diagnosis and data fusion, International Conference on Prognostics & Health Management, 2015, San Diego, CA
    2014

  45. X. Wang, B. Zhang, Real-Time Lebesgue-Sampled Model for Continuous-Time Nonlinear System, IEEE Conference on Decision and Control, 2014 

  46. B. Zhang, X. Wang, Fault Diagnosis and Prognosis Based on Lebesgue Sampling, International Conference on Prognostics & Health Management, 2014, Fort Worth, TX. (Best theory paper).