Sistema Supervisor para Detección y Diagnostico de Fallas en Plantas de Agua Potable Usando Motores Difusos (Supervisory System for Fault Detection and Diagnosis in Drinking Water Treatment Plants Using Fuzzy Engine)

Gustavo Adolfo Rojas (gustavo.rojas@correounivalle.edu.co)1, Edgar Leonardo Quiroga Rubiano (edgar.quiroga@correounivalle.edu.co)1, Jesús Filander Caratar Chaux (jesus.caratar@correounivalle.edu.co)1, Carlos Rafael Pinedo Jaramillo (carlos.pinedo@correounivalle.edu.co)1, José Isidro García Melo (jose.i.garcia@correounivalle.edu.co)1


1Universidad Del Valle

This paper appears in: Revista IEEE América Latina

Publication Date: Nov. 2017
Volume: 15,   Issue: 11 
ISSN: 1548-0992


Abstract:
In Drinking Water treatment plants (DWTPs) is critical make an early fault detection and diagnosis for warranty a qualified service, this is helpfully for a good take decisions process on day by day operations This paper presents the development of a rule based supervisory system, that uses fuzzy logic for predict fails in turbidity sensor on water intake stage zone, those rules were built for expert's information and historical reviews. In this sense, this paper introduces a practical example on a turbidity sensor located on Puerto Mallarino DWTP's water intake stage from Public Service Company of Cali (EMCALI EICE ESP), Colombia

Index Terms:
Drinking Water Treatment Plants, Productive Systems, Fault or Anomalies Detection and Diagnosis, Supervisory System, Fuzzy Logic,Failure in Sensors   


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