Study and application on multi-level process monitoring and predictive fault diagnosis software system framework
Journal Title: Science Paper Online - Year 2007, Vol 2, Issue 12
Abstract
The rapid development of automation and computer technologies makes it possible for process industry to retrieve a huge amount of process data, from which complete information on process operation can be obtained, but its fast increasing amount makes process operators difficult to handle in real-time, especially when more than one alarm are triggered in the operation. The software system framework proposed in this paper realize sensor validation, fault diagnosis and predication in real-time by incorporating the operator’s experience, basic engineering model, and statistical analysis. The case study on active oxidation process of Tonawanda, New York, USA, shows this software can effectively capture sensor failures, and operation faults, therefore, reduce unscheduled downtime more than 50%, save operation cost 2%～3%, and insure the operation safety.
Authors and Affiliations
Wei SUN , Zhongqi REN, Douglas H. Lenz
Keywords
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