On-line training method of ANN in DMS for side draw quality of refinery fractionator

The dynamic on-line monitoring system (DMS) based on on-line training of ar tificial neural network (ANN) has been successfully implemented in a refine ry for real-time, on-line and dynamic estimation of quality indexes of frac tionator side draw. To improve the predicted accuracy of DMS and fit the ne w production cases, a novel ANN training method, on-line training method, h as been proposed. It can save a lot of time and effort in contrast to the c onventional off-line training for ANN. It also improves the reliability of DMS. (C) 2000 Elsevier Science Ltd. All rights reserved.