Abstract
In this paper we present a comprehensive framework enabling data based quality pre-assessment for the quality of metallurgical products, and report on the main experiences gained in cooperation with an industrial partner. The proposed approach is based on a sequential structure including data pre-processing to obtain a well-conditioned problem as well as nonlinear modelling approaches to determine dependencies. As we document here, this approach works correctly for approximately 90% of the cases, but hints are given on which essential modifications (associated with the problem setup) should be taken to re-formulate the problem in order to increase its performance.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the IFAC Workshop MMM'2006 on Automation in Mining, Mineral and Metal Industry. |
| Editors | S. Cierpisz, K. Miskiewicz, A. Heyduk |
| Number of pages | 6 |
| Publication status | Published - 2006 |
Fields of science
- 202 Electrical Engineering, Electronics, Information Engineering
- 202027 Mechatronics
- 202034 Control engineering
- 203027 Internal combustion engines
- 206001 Biomedical engineering
- 206002 Electro-medical engineering
- 207109 Pollutant emission