Application of forcasting algorithms in the optical fiber coal dust burner monitoring system

Waldemar Wojcik; T. Bieganski; Andrzej Kotyra; Andrzej Smolarz

doi:10.1117/12.285618

5 August 1997 Application of forcasting algorithms in the optical fiber coal dust burner monitoring system

Waldemar Wojcik, T. Bieganski, Andrzej Kotyra, Andrzej Smolarz

Proceedings Volume 3189, Technology and Applications of Light Guides; (1997) https://doi.org/10.1117/12.285618
Event: Technology and Applications of Lightguides, 1996, Krasnobrod, Poland

Abstract

In this article we discuss the properties of autoregression (AR) and moving average (MA) processes, as well as non- parametrical and parametrical identification of their models describing real time-series. We have shown the principles of calculating one-step forecasts with the smallest average square error for real time series, which describe flame blinking in a coal burner working in a boiler of the 200 MW energetic block. We have calculated ARMA (p,q) and ARIMA (p,d,q) mixed models, which, in turn, helped us to calculate one-step forecasts. The results, in the form of a measured time series, with marked one-step forecasts, are shown in enclosed figures.

Citation Download Citation

Waldemar Wojcik, T. Bieganski, Andrzej Kotyra, and Andrzej Smolarz "Application of forcasting algorithms in the optical fiber coal dust burner monitoring system", Proc. SPIE 3189, Technology and Applications of Light Guides, (5 August 1997); https://doi.org/10.1117/12.285618

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