Ana Maria Frattini Fileti

• Abstract

  One goal of this research proposal is to further develop the technique for sonic leak detection in gas flows, initially developed under FAPESP grant Nº 2011/23571-8. In this previous project sonic signals characteristic of gas leaks were acquired and analyzed and a neural network developed for the data reduction. However, the experiments were rather simple as the main goal was to develop …

  Leak detection in gas flows and determination of flow pattern and gas fraction in multiphase flows by acoustic measurements and neural networks, AV.BR

• Abstract

  The purpose of increasing the operational reliability of the ducts is crucial because every year there is a growing number of pipelines employed in the transport and/or distribution of gas and liquid products. The control operation of these systems is a very complex task. The diversity of the network components, often coupled to the great distances involved, impose the need for ongoing mo…

  Detecting and locating leakages in a piping system of transport and/or gas distribution by using acoustic methods and artificial neural networks, AP.R
• Intelligent control development for a polimerization batch reactor, AP.R

(Only some records are available in English at this moment)

• Neural model development for the bromelain precipitation process, BP.IC

• Abstract

  During the fermentation process, some of ethanol produced is lost by evaporation, reducing the yield. An absorption column may be used to recover the product lost. This equipment is also applied in carbon dioxide treatment, at the dryer stage. Moreover, a strong control system is required to secure that a satisfactory performance will be achieved. In this work a feedforward controller bas…

  Control via neural networks of absorption columns in the production process of ethanol by fermentation, BP.DR