Method for analyzing and classifying process data that operates a knowledge base in an open-book mode before defining any clusters
US8036999B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 13, 2008 |
| Grant date | Oct 11, 2011 |
| Priority date | — |
| Expiry date | Jul 16, 2030 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F16/90
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
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.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.