Lime Kiln Fault Detection and Diagnosis by Neural Networks

  • B Ribeiro
  • E Costa
  • A Dourado


Artificial neural networks have recently been used successfully for fault detection and diagnosis in chemical processes. In this paper, we present a study on fault detection and diagnosis of an industrial lime kiln which is a complex highly nonlinear process within the pulp and paper industry. We show the capability of neural networks to learn faults which can occur during steady state kiln operation, their adaptation to different input distributions involving nonlinear mappings and their capability to spontaneously generalize. We compare the performance of two architectures, nameley BPNN (Back Propagation Neural Network) and RBFNN (Radial Basis Function Neural Network), and investigate several topologies. Through this study, it can be concluded that the RBFNN arquitecture learns faster, with less error and performs better at classifying kiln malfunctions.


Fault Detection Radial Basis Function Neural Network Back Propagation Neural Network Neural Network Training Fuel Flow Rate 
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]
    Hoskins, J. C., Kaliyur, K. M., Himmelblau, D. M.: AIChE Journal, 37 1, 137 (1991).CrossRefGoogle Scholar
  2. [2]
    Watanabe, K., Matsuura, I.-, Abe, M., Kubota, M. Himmelblau, D. M.: AICHE Journal, 35 11, 1803 (1989).CrossRefGoogle Scholar
  3. [3]
    Ungar, L. H., Powell, B. A., Kamens, S. N.: Computers and Chemical Engineering, 14 4, 561 (1990).CrossRefGoogle Scholar
  4. [4]
    Venkatasubramanian, V., Vaidyanathan, R., Yamammoto, Y.: Computers and Chemical Engineering, 14 7, 699 (1990).CrossRefGoogle Scholar
  5. [5]
    Leonard, J. A., Kramer, M. A.: IEEE Control Systems, April, 32 (1991).Google Scholar
  6. [6]
    Leonard, J. A., Kramer, M. A.: IEEE Expert, April, 44 (1993).Google Scholar
  7. [7]
    Ribeiro, B., Dourado, A., Costa, E.: IJCNN93, Vol II, 2037, (1993).Google Scholar

Copyright information

© Springer-Verlag/Wien 1995

Authors and Affiliations

  • B Ribeiro
    • 1
  • E Costa
    • 1
  • A Dourado
    • 1
  1. 1.CISUC — Centro de Informática e Sistemas da Universidade de CoimbraUniversidade de CoimbraCoimbraPortugal

Personalised recommendations