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- W3040559619 abstract "In the combustion process, one of the most important tasks is related to maintaining its stability. Numerous methods of monitoring, diagnostics, and analysis of the measurement data are used for this purpose. The information recorded in the combustion chamber constitute one-dimensional time series. In the case of non-stationary time series, which can be transformed into the stationary form, the autoregressive integrated moving average process can be employed. The paper presented the issue of forecasting the changes in flame luminosity. The investigations discussed in the work were carried out with the ARIMA model (p,d,q). The presented forecasts of changes in flame luminosity reflect the actual processes, which enables to employ them in diagnostics and control of the combustion process." @default.
- W3040559619 created "2020-07-10" @default.
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- W3040559619 date "2020-06-30" @default.
- W3040559619 modified "2023-10-06" @default.
- W3040559619 title "RESEARCH ON THE COMBUSTION PROCESS USING TIME SERIES" @default.
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- W3040559619 doi "https://doi.org/10.35784/iapgos.1835" @default.
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