Time series statistical model to relate blast furnace operation variables

Authors

  • A. Martínez Centro Nacional de Investigaciones Metalúrgicas (CSIC)
  • I. Rieiro Ministerio de Educación y Ciencia (MEC)
  • A. Formoso Centro Nacional de Investigaciones Metalúrgicas (CSIC)
  • A. Cores Centro Nacional de Investigaciones Metalúrgicas (CSIC)

DOI:

https://doi.org/10.3989/revmetalm.1995.v31.i4.956

Keywords:

Signal analysis, Sample modeling, Top gas temperature, Auto regressive models, Blast furnace modeling

Abstract


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

Issue

Section

NO_SECCION_SI_RESUMEN

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