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Diagnosis the Process Dynamic a the Model of Drinking Water Production

Maria R. Osnaya1, Miguel. F. Rocha1, R. Navarrete1 , D. Rodríguez1, L. Orozco1, and M. I. Rocha G2
1.ESIME, Instituto Politécnico Nacional, U.P. A.L. Mateos, G. A. Madero, México D.F. 07738, México
2.Grupo de Fenómenos Ondulatorios, Departamento de Ingeniería Electrónica, Universidad Politécnica de Valencia, España
Abstract—Currently, many of the processes for water purification are processes that require special care in the control of each of the stages to perform it. The scarcity of online sensors that enable a real-time monitoring of the process states is one of the main obstacles of the study. The development of a virtual sensor has partially permitted to avoid the need of online sensors. The important element of this development is the establishment of dynamic behavior models applied to the important process variables, being the area in which this research focuses. This approach estimates the effect of control actions on the variable to characterize, allowing integrating intelligent diagnostic scheme globally, reducing costs and facilitating the monitoring of the process of drinking water production. The experimental results shown are taken from the data of water treatment plant of Tuxtla Gutierrez, Mexico.

Index Terms—dynamic model; intelligent diagnosis; plant of drinking water production

Cite: Maria R. Osnaya, Miguel. F. Rocha, R. Navarrete, D. Rodríguez, L. Orozco, and M. I. Rocha G, "Diagnosis the Process Dynamic a the Model of Drinking Water Production," Journal of Industrial and Intelligent Information, Vol. 3, No. 1, pp. 80-83, March 2015. doi: 10.12720/jiii.3.1.80-83
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