| Publisher | Springer Science+Business Media | ||
|---|---|---|---|
| Format | 383.2KB PDF | Date added | 13 Apr 2005 |
| Topics | Knowledge and Data Management, Data Mining - Analysis | ||
| Downloads | 63 | ||
In this paper, a new data mining algorithm based on the rough sets theory is presented for manufacturing process control. The algorithm extracts useful knowledge from large data sets obtained from manufacturing processes and represents this knowledge using "If/then" decision rules. Application of the data mining algorithm developed in this paper is illustrated with an industrial example of Rapid Tool Making (RTM). RTM is a technology that adopts Rapid Prototyping (RP) techniques, such as spray forming, and applies them to tool and die making. A detailed discussion on how to control the output of the manufacturing process using the results obtained from the data mining algorithm is also presented.
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