Title :
Intelligent materials processing by hyperspace data mining
Author :
Chen, Nianyi ; Zhu, Dongping Daniel ; Wang, Wenhua
Author_Institution :
Zaptron Syst. Inc., Mountain View, CA, USA
Abstract :
This paper discusses application of hyperspace data mining to materials manufacturing. We introduce an innovative hyperspace method whereby data are separated into subspaces, features selected according to data patterns, and control rendered in the original feature space. This technique has three major advantages: no equipment is added, no experiment is needed, and no interruption occurs to production. A number of proprietary algorithms have been built into a software product, MasterMinerTM, for use in materials design and manufacturing. Examples are given to show the efficacy of the proposed method and MasterMiner tool
Keywords :
chemical engineering computing; data mining; intelligent control; manufacturing data processing; process control; software packages; MasterMiner; feature space; hyperspace data mining; intelligent materials processing; software package; Chemistry; Data mining; Industrial control; Intelligent structures; Materials processing; Pattern recognition; Petroleum; Physics; Process control; Solids;
Conference_Titel :
Intelligent Processing and Manufacturing of Materials, 1999. IPMM '99. Proceedings of the Second International Conference on
Conference_Location :
Honolulu, HI
Print_ISBN :
0-7803-5489-3
DOI :
10.1109/IPMM.1999.791567