Issues in the development of an industrial bioprocess advisory system

The background and motivation for the construction of a fault detection and advisory system for an industrial fermentation process plant are described . Here, the knowledge extracted from the operators (implemented in the form of production rules) is integrated with multivariate data-based methods fo r fault detection. The industrial benefits arising from this integrated sys tem include: (1) reduced variability, (2) increased mean performance levels , (3) reduced operator-training time and (4) knowledge management in the br oader organization.