Research Papers by Enrique E. Tarifa

This work outlines the development of a fault diagnostic system to supervise a MSF desalination plant during dynamic states (e.g., start-up and changes of operative conditions) using artificial neural networks (ANNs). This diagnostic system processes the plant data to determine whether the process s

This work outlines the development of a fault diagnostic system to supervise a desalination plant MSF during dynamic states (e.g., start-up and changes of operative conditions) using a real-time expert system. This diagnostic system processes the plant data to determine whether the process state dur

This work outlines the development of a fault diagnostic system for a multi-stage flash (MSF) desalination plant using artificial neural networks (ANNs). This diagnostic system processes the plant data to determine whether the process state is normal or not. In the last case, the diagnostic system d

This work presents a dynamic simulator for MSF desalination plants. It takes into account the heaters and stages dynamic, hydraulic, standard instrumentation and control systems. This simulator was developed to study the effects of faults that may affect a MSF system. In order to extend the results