Title :
The research of detection method of boiler combustion state parameter based on information fusion
Author_Institution :
Dept. of Autom., North China Electr. Power Univ., Baoding, China
Abstract :
In this paper, we present a new detection method of boiler combustion state parameter based on information fusion. In order to improve the accuracy and reliability of boiler combustion state parameter measurement, a new method was developed based on heterogeneous data fusion. Redundant information, consist of relevant heterogeneous data, was employed to improve the accuracy and reliability of measurement while the heterogeneous data fusion means combining statistical modeling to data fusion was also adopted. The effectiveness of the means was verified through actual data calculation.
Keywords :
boilers; combustion equipment; sensor fusion; statistical analysis; boiler combustion state parameter measurement; data calculation; detection method; heterogeneous data fusion; information fusion; redundant information; statistical modeling; Boilers; Combustion; Cybernetics; Heat engines; Machine learning; Power engineering and energy; Power generation; Power system modeling; Sensor fusion; Temperature sensors; Combustion state parameter detection; Information fusion; Soft sensor;
Conference_Titel :
Machine Learning and Cybernetics, 2009 International Conference on
Conference_Location :
Baoding
Print_ISBN :
978-1-4244-3702-3
Electronic_ISBN :
978-1-4244-3703-0
DOI :
10.1109/ICMLC.2009.5212494
