Lookup NU author(s): Professor Jarka Glassey,
Dr Claudia Cunha-Bakeev,
Professor Gary Montague
Full text for this publication is not currently held within this repository. Alternative links are provided below where available.
In order to improve the monitoring and control of an industrial fermentation process plant a fault detection and advisory system was developed. The need to utilise both algorithmic and rule based fault detection methods is discussed. Following this, the implementation strategy based on the use of G2 from Gensym is outlined. The KAT knowledge elicitation method was used to capture efficiently the fault detection rule set at the seed stage of the process. Examples of the method of elicitation and details of process performance estimation using algorithmic methods are given. Finally, the integration with multivariate data-based methods for fault detection and process application of the combined system is described.
Author(s): Glassey J, Cunha C, Ranjan A, Montague G
Publication type: Conference Proceedings (inc. Abstract)
Publication status: Published
Conference Name: Proceedings of the American Control Conference
Year of Conference: 2002