Title

Diagnosis of Missed Ductile Iron Melts with Process Modelling

Journal title

Archives of Foundry Engineering

Yearbook

2017

Volume

vol. 17

Issue

No 4

Authors

Perzyk, M. ; Werlaty, M.

Keywords

Quality management ; Application of information technology to the foundry industry ; Process fault diagnosis ; Ductile iron melting ; Data-driven models

Divisions of PAS

Nauki Techniczne

Publisher

The Katowice Branch of the Polish Academy of Sciences

Date

2017

Type

Artykuły / Articles

Identifier

DOI: 10.1515/afe-2017-0142 ; eISSN 2299-2944

Source

Archives of Foundry Engineering; 2017; vol. 17; No 4

References

Harding (2006), Data mining in manufacturing a, review Trans Sci, 1. ; Kusiak (2006), Data mining manufacturing service applications, Int J Prod Res, 4175. ; Koonce (1997), Data mining tool for learning from manufacturing systems, Comput Ind Eng, 33, 27. ; Breiman (1984), Classification regression trees CA Software, Advanced, 11. ; Zhang (1990), new diagnosis theory with two kinds of quality Quality, Total Management, 1. ; Tseng (2004), Applying data mining approaches for defect diagnosis in manufacturing industry In IIE Annual Conference and Exhibition Institute of Industrial Engineers, USA, 1441. ; Vazan (2012), Data Mining Model Building as a Support for Decision Making in Production Management In Advances in Applications Second International Conference on Applications New Delhi, Computer Science Engineering Proc Computer Science Engineering, 1. ; Ghosh (2014), Data mining driven DMAIC framework for improving foundry quality - a case study Production, Planning Control, 25, 478. ; Tsang (2007), of a data mining system for continual process quality improvement Part, Development Proc Inst Mech Eng Eng, 221.