Identification and application of data-driven superheated steam temperature system

Superheated steam temperature is one of the important parameters of thermal power plants, and its non-linearity and large inertia pose major challenges for modeling. This article is based on data-driven concepts and focuses on field data. Fading memory recursive least square algorithm was used to es...

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Vydané v:	Chinese Control and Decision Conference s. 1696 - 1701
Hlavní autori:	Weng, Jiang, Wang, Yinsong, Sun, Tianshu
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 01.08.2020
Predmet:	Analytical models Data models Data-driven Fading channels Fading memory recursive least square Indexes Mathematical model Model identification Power generation Superheated steam temperature system Temperature control
ISSN:	1948-9447
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