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- W2340585462 abstract "Abstract A new inference control system for the flame position in the combustion chamber of a power plant system boiler is presented. The system is based on enhanced multi-softsensing at three operational levels – basic level, providing estimates of all necessary technological variables; a separate Mill Fan (MF) level, and a total Dust Preparation System (DPS) level. The control system involves a subsystem for the stabilization of the position of the common MF ventilation rate momentum in a given threshold area in a burner horizon, which is supervised by an inference correction based on softsensed 2D flame position in the output section of the combustion chamber. A hybrid approach is accepted in softsensing, using fusion of the first principle models, statistical models, neural networks and fuzzy logic based models. Real experimental results are presented from TPP." @default.
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- W2340585462 date "2016-03-01" @default.
- W2340585462 modified "2023-10-14" @default.
- W2340585462 title "Intelligent Multi-Soft Sensing for Flame Position of Steam Boilers" @default.
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- W2340585462 doi "https://doi.org/10.1515/cait-2016-0013" @default.
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