Skip to main content
Have a personal or library account? Click to login
Prediction of Fouling in Condenser Based on Fuzzy Stage Identification and Chebyshev Neural Network Cover

Prediction of Fouling in Condenser Based on Fuzzy Stage Identification and Chebyshev Neural Network

Open Access
|Apr 2013

References

  1. [1] Kern, D.Q., Seaton, R.E. (1959). A theoretical analysis of thermal surface fouling., 4 (5), 258-262.
  2. [2] Peyghambarzadeh, S.M., Vatani, A., Jamialahmadi, M. (2012). Application of asymptotic model for the prediction of fouling rate of calcium sulfate under subcooled flow boiling.39 (6), 105-113.
  3. [3] Zubair, S.M, Sheikh, A.K., Shaik, M.N. (1992). A probabilistic approach to the maintenance of heat transfer equipment subject to fouling.17 (8), 769-776.
  4. [4] Li, Y., Cao, Z. (1995). Concept and measurement of cleanness in steam condenser.37 (2), 73-76.
  5. [5] Choi, J.-S., Hwang, T.-M., Lee, S., Hong, S. (2009). A systematic approach to determine the fouling index for a RO/NF membrane process.2009, 238 (3), 117-127.
  6. [6] Černý, M., Rada, M. (2011). On the possibilistic approach to linear regression with rounded or intervalcensored data.11 (2), 34-40.
  7. [7] Lalot, S. Palsson, O.P., Jonsson, G.R. Desmet, B. (2007). Comparison of neural networks and Kalman filters performances for fouling detection in a heat exchanger.8 (1), 151-168.
  8. [8] Teruel, E., Cortes, C., Diez, L.I., Arauzo, I. (2005). Monitoring and prediction of fouling in coal-fired utility boilers using neural networks.60 (4), 5035-5048.
  9. [9] Sun, L., Saqi, R., Xie, H. (2010). Research on the fouling prediction of heat exchanger based on relevance vector machine. In, 7-9 July 2010. IEEE, 3246-3249.
  10. [10] Wallhäuer, E., Hussein, W.B. et al. (2011). On the usage of acoustic properties combined with an artificial neural network - A new approach of determining presence of dairy fouling.103 (4), 449-456.
  11. [11] Nebot, E., Casanueva, J.F., Casanueva, T., Sales, D. (2007). Model for fouling deposition on power plant steam condensers cooled with seawater: Effect of water velocity and tube material.50 (17), 3351-3358.
  12. [12] Zhang, Y., Wang, Y. (2010). Prediction of condenser fouling based on locally weighted partial least squares regression algorithm.31 (2), 299-304.
  13. [13] Zhang, Y.N., Ge, S.S. (2005). Design and analysis of a general recurrent neural network model for timevarying matrix inversion.16 (6), 1477-1490.
  14. [14] Hasan, M.A., Reaz, M.B.I. (2012). Hardware prototyping of neural network based fetal electrocardiogram extraction.12 (2), 52-55.
  15. [15] Li, W. (2005). Oscillatory asymptotic fouling model.12 (3), 239-248.
  16. [16] Fan, S., Wang, Y. (2005). Prediction of fouling in condenser based on multi-model combination.18 (2), 225-229.
Language: English
Page range: 94 - 99
Published on: Apr 3, 2013
Published by: Slovak Academy of Sciences, Institute of Measurement Science
In partnership with: Paradigm Publishing Services
Publication frequency: Volume open

© 2013 Shaosheng Fan, Qingchang Zhong, published by Slovak Academy of Sciences, Institute of Measurement Science
This work is licensed under the Creative Commons License.