Department of Electrical and Computer Engineering

Fault Diagnosis and Fault Tolerant Systems

 

Summer semester 2022

All learning materials can be found in the OLAT.

To receive the necessary  OLAT access code you should:
1) Login in KIS-Office.
2) Book the corresponding course in KIS-Office.
3) In a few days receive the access code at your rhrk Email address.

 

Contact person:

If you have any question regarding this course, please feel free to contact  M.Sc. Dina Mikhaylenko

 

Course description:

The modern society is characterized by increasing automation degree, not only in industrial production plants (e.g. Industry 4.0) but also in everyday life (e.g. automated driving, smart home/building). To guarantee the correct functioning of such automation systems and to avoid accidents, it is important to detect faults in the system automatically in an early phase. That is why fault diagnosis and process monitoring is one of the essential parts in modern automation systems.   

Based on our rich experience in this research area, this lecture aims to introduce basic principles and different approaches to fault diagnosis of dynamic systems. Moreover, we shall also focus on the design of fault tolerant controllers. The methods that are used to locate the necessity of fault diagnosis, such as fault tree analysis, failure modes and effect analysis, risk based maintenance, will also be presented. Both theoretical analysis and industrial application examples will be covered in the lecture.

 

Main content

  • Introduction to fault diagnosis (FD) and fault tolerant control (FTC)
  • Fault analysis methods
  • Model-based fault diagnosis approaches
  • Data-driven fault diagnosis approaches
  • Fault tolerant control
  • Plant asset Management.

 

Additional information

If you are on the campus network, you may have access to the following interesting application examples to have a look at the applications of FD/FTC approaches:

  • N. Meskin, E. Naderi, and K. Khorasani. A Multiple Model-Based Approach for Fault Diagnosis of Jet Engines. IEEE Transactions on Control Systems Technology, Vol. 21, No. 1, pp. 254-263, 2013.

http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=6119240

  • X.D. Zhang, R. Grube, K. Shin, M. Salman, R.S. Conell. Parity-relation-based state-of-health monitoring of lead acid batteries for automotive applications. Control Engineering Practice, Vol. 19, pp. 555–563, 2011.

https://www.sciencedirect.com/science/article/pii/S0967066110001383

 

Reference

  • S. X. Ding. Model-Based Fault Diagnosis Techniques: Design Schemes, Algorithms and Tools. Springer Verlag, 2013.
  • S. X. Ding. Data-driven Design of Fault Diagnosis and Fault-tolerant Control Systems. Springer Verlag, 2014.
  • R. Isermann. Fault-Diagnosis Applications. Springer, 2011.
  • M. Blanke, M. Kinnaert, J. Lunze and M. Staroswiecki. Diagnosis and Fault Tolerant Control. Springer, 2016.
  • Y. M. Zhang and J. Jiang. Bibliographical review on reconfigurable fault-tolerant control systems. IFAC Annual Reviews in Control, Vol. 32, No. 2, pp. 229-252, 2008.

 

Exam

The exam will be an oral examination and takes place in the exam period.

 

 

 


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