SS02 - Monitoring, Diagnosis, Prognosis and Resilient Control Methods and Applications

Special Session Organized by

Zhiwei Gao, University of Northumbria, United Kingdom; Shen Yin, Harbin Institute of Technology, China;

Industrial systems, such as aero engine, power network, chemical automation process, wind turbine systems, and so forth, are safety-critical systems. Therefore, there is an ever-increasing demand to provide a highlevel system reliability and safety for practical engineering systems by implementing real-time monitoring, fault diagnosis, prognosis and resilient control and management. This special session aims to provide a platform for the researchers and participants from both academic community and industrial sectors to report recent research and application progress in the field of condition monitoring, fault diagnosis, fault prognosis, resilient control and their applications.

Topics under this track include (but not limited to):

  • Model-based monitoring and fault diagnosis methods
  • Knowledge-based monitoring and fault diagnosis methods
  • Signal-based monitoring and fault diagnosis methods
  • Prognosis methods and remaining use life prediction
  • Resilient control methods
  • Health monitoring and management for industrial systems
  • Real-time implementation of monitoring, diagnosis and tolerant control in practical applications


Submission of papers (regular, special sessions) Mar 15, 2019 Mar 31, 2019
Notification of acceptance April 22, 2019 May 1, 2019
Submission of final manuscripts June 05, 2019

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Download Call for Papers

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