Multidimensional minimization training algorithms for steam boiler drum level trip using artificial intelligent monitoring system

@article{Alnaimi2010MultidimensionalMT,
  title={Multidimensional minimization training algorithms for steam boiler drum level trip using artificial intelligent monitoring system},
  author={F.B.I. Alnaimi and Hussain H. Al-Kayiem},
  journal={2010 International Conference on Intelligent and Advanced Systems},
  year={2010},
  pages={1-6}
}
This paper deals with the Fault Detection and Diagnosis of steam boiler using developed artificial Neural networks model. Water low level trip of steam boiler is artificially monitored and analyzed in this study, using two different interpretation algorithms. The Broyden-Fletcher-Goldfarb-Shanno quasi-Newton and Levenberg-Marquart are adopted as training algorithms of the developed neural network model. Real site data is captured from a coal-fired thermal power plant in Perak state - Malaysia… CONTINUE READING

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