Fault detection and diagnosis for process plants has been an active area of research for
many years. This review presents a concise overview on supervised and unsupervised data …

Abstract The versatility of Artificial Intelligence (AI) in process systems is not restricted to
modelling and control only, but also as estimators to estimate the unmeasured parameters …

The use of artificial neural networks (ANN) in fault detection analysis is widespread. This
paper aims to provide an overview on its application in the field of fault identification and …

Fast pyrolysis of biomass is an important technology in the conversion of lignocellulosic
feedstocks to value-added fuels and chemicals. Significant efforts have been dedicated to …

The last decade has seen a considerable growth in the use of Artificial Intelligence (AI) for
operations management with the aim of finding solutions to problems that are increasing in …

Biodiesel is currently the most widely accepted alternative fuel for diesel engines due to its
various advantages. The fatty acid composition of vegetable oils affects the fuel properties of …

Sour gas components (mostly H 2 S and CO 2) are to be removed from natural gas in a
sweetening process. Analysis of sweetening of natural gas has been carried out by …

In this work, a typical process for natural gas dehydration using triethylene glycol (TEG) as a
desiccant is simulated using a steady state flowsheet simulator (Aspen Plus). The flowsheet …

Prediction of the terminal velocity of solid spheres falling through Newtonian and non-
Newtonian fluids is required in several applications like mineral processing, oil well drilling …

Debutanizer column is an important unit operation in petroleum refining industries. The
design of online composition prediction by using neural network will help improve product …