Application of soft sensor in the online measurement of theiron ore’s surface temperature
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Abstract:
It is difficult to measure the surface temperature of iron ore directly. A method is put forward to handle this problem by using softsensing technique. This online measurement method is used to replace the Lagrange interpolation offline method to estimate surface temperature. The method used LM optimum algorithm to build up ANN soft sensor model combined with offline learning neural network to establish the correlation between input variables and target variables, to achieve the surface temperature on line detection. The results of simulation and experimentation indicate that the method is reasonable and feasible.
