Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/74512
Title: Collaborative decision support during process operations using heterogeneous software agents
Authors: Ng, Y.S. 
Srinivasan, R. 
Keywords: Agents
Decision support systems
Fault diagnosis
Parallel computation
Issue Date: 2004
Source: Ng, Y.S.,Srinivasan, R. (2004). Collaborative decision support during process operations using heterogeneous software agents. AIChE Annual Meeting, Conference Proceedings : 7653-7662. ScholarBank@NUS Repository.
Abstract: This paper elucidates the methodology of employing agent-based technique for detecting and diagnosing faults in chemical processes. The proposed agent methodology has been shown to be able to effectively combine various fault diagnosis methodology and exploit the capability of parallel computing technology in the process plants. We also show that the integration and collaboration among heterogeneous methods is essential to overcome the numerous hurdles of effectively monitoring process transitions given its high level of completeness. Additionally, the framework shows promises in effectively managing information from various entities of a process plant, further enhancing the decision making of plant management. The framework is illustrated using a case study of the Tennessee Eastman Process.
Source Title: AIChE Annual Meeting, Conference Proceedings
URI: http://scholarbank.nus.edu.sg/handle/10635/74512
Appears in Collections:Staff Publications

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