RT Conference Proceedings
T1 Detection of transients in steel casting through standard and AI-based techniques
A1 Colla, Valentina
A1 Vannucci, Marco
A1 Matarese, Nicola
A1 Stephens, Gerard
A1 Pianezzola, Marco
A1 Alonso, Izaskun
A1 Lamp, Torsten
A1 Palacios, Juan
A1 Schiewe, Siegfried
AB The detection of transients in the practice of continuous casting within a steel-making industry is a key task for the prediction of final product properties but currently a direct observation of this phenomenon is not available. For this reason in this paper several standard and soft-computing based methods for the detection of transients from plant data will be tested and compared. From the obtained results it emerges that the use of a fuzzy inference system based on experts knowledge achieves very satisfactory results correctly identifying most of the transient events present in the databases provided by different companies.
SN 9783642215001
SN 0302-9743
YR 2011
FD 2011
LK https://hdl.handle.net/11556/2164
UL https://hdl.handle.net/11556/2164
LA eng
NO Colla , V , Vannucci , M , Matarese , N , Stephens , G , Pianezzola , M , Alonso , I , Lamp , T , Palacios , J & Schiewe , S 2011 , Detection of transients in steel casting through standard and AI-based techniques . in Advances in Computational Intelligence - 11th International Work-Conference on Artificial Neural Networks, IWANN 2011, Proceedings . PART 1 edn , Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) , no. PART 1 , vol. 6691 LNCS , pp. 256-264 , 11th International Work-Conference on on Artificial Neural Networks, IWANN 2011 , Torremolinos-Malaga , Spain , 8/06/11 . https://doi.org/10.1007/978-3-642-21501-8_32
NO conference
DS TECNALIA Publications
RD 30 jul 2024