Time series statistical model to relate blast furnace operation variables
DOI:
https://doi.org/10.3989/revmetalm.1995.v31.i4.956Keywords:
Signal analysis, Sample modeling, Top gas temperature, Auto regressive models, Blast furnace modelingAbstract
This work, through techniques seldom used in the ironmaking field, establishes a criterion to define the behaviour along the time of significant operating variables of the blast furnace. A time series autoregressive model has been developed, achieving with it an adequate forecasting level. The methodology used has been the Yule-Walker equations to establish the model, the Akaike test to choose the best one and the autocorrelation function analysis to check it.
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Published
1995-08-30
How to Cite
Martínez, A., Rieiro, I., Formoso, A., & Cores, A. (1995). Time series statistical model to relate blast furnace operation variables. Revista De Metalurgia, 31(4), 242–245. https://doi.org/10.3989/revmetalm.1995.v31.i4.956
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Section
NO_SECCION_SI_RESUMEN
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Copyright (c) 1995 Consejo Superior de Investigaciones Científicas (CSIC)
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