SS11- Diagnosis, Prognosis and Resilient Control for Industrial Systems

Special Session Organized by

Zhiwei Gao, University of Northumbria, UK; 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 high-level 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 of interest include, but are not limited to

• Machine-learning based monitoring and fault diagnosis
• Signal-based monitoring and fault diagnosis
• Model-based monitoring and fault diagnosis
• Prognosis methods and remaining use life prediction
• Resilience of safety-critical systems
• Health monitoring and management for industrial systems
• Real-time implementation of diagnosis, prognosis and tolerant control in engineering applications

Submissions Procedure

All the instructions for paper submission are included in the conference website indin2020.com.

Deadlines

Download Call for Papers

Click here to download this special session call for papers