@article{(Open Science Index):https://publications.waset.org/pdf/12854,
	  title     = {Model based Soft-Sensor for Industrial Crystallization: On-line Mass of Crystals and Solubility Measurement},
	  author    = {Cédric Damour and  Michel Benne and  Brigitte Grondin-Perez and  Jean-Pierre Chabriat},
	  country	= {},
	  institution	= {},
	  abstract     = {Monitoring and control of cane sugar crystallization
processes depend on the stability of the supersaturation (σ ) state.
The most widely used information to represent σ is the electrical
conductivity κ of the solutions. Nevertheless, previous studies point
out the shortcomings of this approach: κ may be regarded as
inappropriate to guarantee an accurate estimation of σ in impure
solutions. To improve the process control efficiency, additional
information is necessary. The mass of crystals in the solution ( c m )
and the solubility (mass ratio of sugar to water / s w m m ) are relevant
to complete information. Indeed, c m inherently contains information
about the mass balance and / s w m m contains information about the
supersaturation state of the solution. The main problem is that c m
and / s w m m are not available on-line. In this paper, a model based
soft-sensor is presented for a final crystallization stage (C sugar).
Simulation results obtained on industrial data show the reliability of
this approach, c m and the crystal content ( cc ) being estimated with
a sufficient accuracy for achieving on-line monitoring in industry},
	    journal   = {International Journal of Nutrition and Food Engineering},
	  volume    = {3},
	  number    = {6},
	  year      = {2009},
	  pages     = {275 - 279},
	  ee        = {https://publications.waset.org/pdf/12854},
	  url   	= {https://publications.waset.org/vol/30},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 30, 2009},
	}