20.500.12556/RUL-138854 Soft sensor of bath temperature in an electric arc furnace based on a data-driven Takagi–Sugeno fuzzy model Electric arc furnaces (EAFs) are intended for the recycling of steel scrap. One of the more important variables in the recycling process is the tapping temperature of the steel. Due to the nature of the process, continuous measurement of the melt temperature is complicated and requires sophisticated measuring equipment; therefore, for most EAFs, separate temperature samples are taken several times before the melt is tapped, to verify whether the melt temperature is within the prescribed range. The measurements are obtained using disposable probes; when measurement is performed, the furnace must be switched off, leading to increased tap-to-tap time, unnecessary energy losses, and consequently, lower efficiency. The following paper presents a novel approach to EAF bath temperature estimation using a fuzzy model soft sensor obtained using Gustafson–Kessel input data clustering and particle swarm optimization of model parameters. The model uses the first temperature measurement as an initial condition, and measurements of the necessary EAF inputs to estimate continuously the bath temperature throughout the refining stage of the recycling process. The results have shown that the prediction accuracy of the proposed model is very high and that it fulfils the required tolerance band. The model is intended for parallel implementation in the EAF process, with the aim of achieving fewer temperature measurements, shorter tap-to-tap times, and decreased energy losses. Furthermore, if information about bath temperature is accessible in a continuous manner, operators can adjust the control of the EAF to achieve optimal tapping temperature and thus higher EAF efficiency. electric arc furnace fuzzy modeling Gustafson–Kessel clustering particle swarn optimization temperature estimation elektroobločna peč mehko modeliranje rojenje Gustafson-Kessel optimizacija z roji delcev ocena temperature true false true Angleški jezik Slovenski jezik Članek v reviji 2022-08-23 12:48:26 2022-08-23 12:48:27 2022-09-15 04:17:17 0000-00-00 00:00:00 2021 0 0 11 str. pt. B, art. 107949 Vol. 113 Dec. 2021 0000-00-00 Zaloznikova Objavljeno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 681.5:621.365.2 1568-4946 10.1016/j.asoc.2021.107949 79852547 1-s2.0-S1568494621008711-main.pdf 1-s2.0-S1568494621008711-main.pdf 1 BB32CE922E200A5040560C34623D4675 88122b7e6992a92764dd13614666b74287247e998c9ea72707c0dbc247f3a17c 5f1210e4-22d1-11ed-92af-00155dcfd717 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=159328 https://www.sciencedirect.com/science/article/pii/S1568494621008711 1 196dac84-22d1-11ed-92af-00155dcfd717 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=159327 Fakulteta za elektrotehniko 0 0 0