Artificial neural networks

Separation of high purity rare earth elements from their mixed oxides, obtained from monazite or xenotime, requires multiple stages of separation by circuits incorporating one or more solvents. The separation factors being small, a large number of counter-current stages become necessary. Process dev

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 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