Fuzzy Control pp 294-301 | Cite as

Neuro-Fuzzy Detector for Industrial Process

  • Marek Kowal
  • Józef Korbicz
Conference paper
Part of the Advances in Soft Computing book series (AINSC, volume 6)


This paper deals with the use of neuro-fuzzy approach to fault detection in industrial processes. The general information regarding the model based fault detection and neuro-fuzzy techniques is presented. The neuro-fuzzy simulator is employed to fault detection in the boiler drum. To illustrate our approach, the simulation results are presented in the final part of the paper.


Fault Detection Control System Technology Artificial Intelligence Method Steam Power Plant Fault Detection Algorithm 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Bauman, E., Dorofeyuk, A., Filev, D.: Fuzzy identification of non-linear dynamical systems. Proceedings International Conference on Fuzzy Logic and Neural Nets, Iizuka, Japan (1990) 1013–1015Google Scholar
  2. 2.
    Korbicz, J., Pieczynski, A.: Dynamic model of steam power plant. Report of Department of Robotics and Software Engineering, Zielona Gora, Poland (1993) (in Polish)Google Scholar
  3. 3.
    Maki, Y., Loparo, K.A.: A neural network approach to fault detection and diagnosis in industrial processes. IEEE Trans. on Control Systems Technology, Vol. 5, No. 6 (1997) 529–541CrossRefGoogle Scholar
  4. 4.
    Marcu, T., Mirea, L.: Robust detection and isolation of process faults using neural networks. IEEE Trans. on Control Systems Technology, Vol. 10 (1997) 72–79Google Scholar
  5. 5.
    Yager, R.R., Filev, D.P.: Essentials of fuzzy modelling and control. John Wiley and Sons, Inc. (1994)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2000

Authors and Affiliations

  • Marek Kowal
    • 1
  • Józef Korbicz
    • 1
  1. 1.Department of Robotics and Software EngineeringTechnical University of Zielona GoraZielona GoraPoland

Personalised recommendations