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Proceedings Paper

Identification of biomass co-combustion operating point using image processing
Author(s): Andrzej Kotyra; Waldemar Wójcik; Aigul Iskakova; Sarsenbek Zhussupbektov
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Paper Abstract

Thermal power and excess air coefficient are one of key parameters that characterize operating point of combustion process. In practice, they are hard to determine directly. The k-nearest neighbor (k-NN) regression algorithm was applied where some flame image geometric parameters were used as predictors. The model was assessed by carrying out several combustion tests for nine different settings of the laboratory combustion facility. Thermal power and excess air coefficient were kept constant and set independently for known biomass content.

Paper Details

Date Published: 19 August 2014
PDF: 4 pages
Proc. SPIE 9291, 13th International Scientific Conference on Optical Sensors and Electronic Sensors, 929108 (19 August 2014); doi: 10.1117/12.2070057
Show Author Affiliations
Andrzej Kotyra, Lublin Univ. of Technology (Poland)
Waldemar Wójcik, Lublin Univ. of Technology (Poland)
Aigul Iskakova, K. I. Stapaev Kazakh National Technical Univ. (Kazakhstan)
Sarsenbek Zhussupbektov, K. I. Stapaev Kazakh National Technical Univ. (Kazakhstan)


Published in SPIE Proceedings Vol. 9291:
13th International Scientific Conference on Optical Sensors and Electronic Sensors
Jacek Golebiowski; Roman Gozdur, Editor(s)

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