Method for analyzing and classifying process data that...

Data processing: artificial intelligence – Knowledge processing system

Reexamination Certificate

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Reexamination Certificate

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08036999

ABSTRACT:
Process data mining system and method. The system analyzes data from complex process plants or systems and operates in open-book and closed-book modes. In closed-book mode, the system monitors incoming data sets against pre-defined clusters of data values and generates reports, indicating whether incoming data is a match or a no-match with the pre-defined clusters. In open-book mode, the system generates initial clusters, without having a-priori knowledge of the component or process, and also creates clusters “on the fly”, thereby fine-tuning the analysis. A knowledge base encompasses a combination of parameters for a particular component. Clusters are defined within the knowledge base, each cluster representing a particular operating condition. The system expands clusters, within pre-defined limits, or creates new clusters, as needed, in order to accommodate incoming data values. Newly created clusters are then named, so as to indicate the particular operating conditions.

REFERENCES:
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patent: 6917839 (2005-07-01), Bickford
patent: 7383238 (2008-06-01), Iverson
patent: 2003/0224344 (2003-12-01), Shamir et al.
patent: 2010/0030521 (2010-02-01), Akhrarov et al.
Can, et al., Dynamic Cluster Maintenance, 1987, ACM, pp. 275-291.
Aggarwal et al., On Demand Classification of Data Streams, 2004, ACM, pp. 1-6.
Iverson, David L., Inductive System Health Monitoring, 2004 International Conference on Artificial Intelligence, Jun. 2004, 7 pages, CSREA Press, Las Vegas, NV.

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