Fuzzy logic application for fault isolation of actuators

  • Michał Bartyś Warsaw University of Technology
  • Jan M. Kościelny Warsaw University of Technology
  • Paweł Rzepiejewski Warsaw University of Technology

Abstract

This paper is focused particularly on application of fuzzy logic approach for solving fault isolation problem of some class of industrial actuators described in the benchmark actuator definition [1]. Particular attention was paid for searching of applicable and acceptable solutions in terms of industrial implementations. The rational solution of the problem of setting fuzzy partitions for residual evaluation was proposed. The industrial benchmark study was applied for evaluating of proposed approach by means of the real process data acquired in normal and abnormal process states. The chosen examples of achieved results concerning fault isolability issues are presented.

Keywords

fault detection and isolation, industrial actuators, benchmark study, modelling, diagnosis,

References

[1] M. Bartyś, R. Patton, M. Syfert, S. de las Heras, J. Quevedo. Introduction to the DAMADICS actuator FDI benchmark study. Control Engineering Practice, Special Issue, 2005. in press
[2] M. Bartyś, J. Calado, R. Patton, J. Quevedo. Fault diagnosis of industrial actuators in a sugar factory: a European study. Computing fj Control Engineering Journal, 13(5): 247-253, 2002.
[3] M. Bartyś, J .M. Kościelny. Application of Fuzzy Logic Fault Isolation Methods for Actuator Diagnosis. 15-th IFAC World Congress, 21-26 July, Barcelona, 2002. .
[4] M. Blanke, M. Kinnaert, J. Lunze, M. Staroswiecki. Diagnosis and Fault-Tolerant Control. Springer, 2003.
[5] J .M.F . Calado, J. Korbicz, K. Patan, R Patton, J. Sa da Costa. Soft computing approaches to fault diagnosis for dynamic systems. European Journal of Control, 7(2-3): 248-286, 2001.
Published
Nov 28, 2022
How to Cite
BARTYŚ, Michał; KOŚCIELNY, Jan M.; RZEPIEJEWSKI, Paweł. Fuzzy logic application for fault isolation of actuators. Computer Assisted Methods in Engineering and Science, [S.l.], v. 12, n. 2-3, p. 89-102, nov. 2022. ISSN 2956-5839. Available at: <https://cames.ippt.pan.pl/index.php/cames/article/view/978>. Date accessed: 23 june 2024.
Section
Articles