DocumentCode :
1752775
Title :
Boiler Combustion Diagnosis Based on Rough Set Theor
Author :
Xie, Gang ; Liu, Xuebin ; Xie, Keming
Author_Institution :
Coll. of Inf. Eng., Taiyuan Univ. of Technol., Taiyuan Shanxi
Volume :
1
fYear :
0
fDate :
0-0 0
Firstpage :
2609
Lastpage :
2612
Abstract :
With the boiler combustion inspection and diagnosis became much more important day after day, the image technology had been applied in this field. Several image characters had gotten from the fire image and apply rough set decision-making rules to form the decision-making table. In the table the image characters are condition attribute and the hearth combustion statuses are decision-making attribute. The weight coefficients of the condition attribute to the decision-making attribute are determined by the approximation set conception in the rough set theory. Thus, the judgment is objective and provides forceful proof for the boiler combustion diagnosis. At last, an experiment has been done with a group spot fire images gained from different combustion status, and compare the experiment results with the spot status. It shows that the method is feasible
Keywords :
boilers; combustion equipment; decision making; image processing; rough set theory; approximation set; boiler combustion diagnosis; boiler combustion inspection; decision-making table; image characters; rough set decision-making rules; rough set theory; spot fire images; Automation; Boilers; Charge coupled devices; Combustion; Decision making; Educational institutions; Fires; Inspection; Intelligent control; Set theory; decision-making; image characters; rough set;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on
Conference_Location :
Dalian
Print_ISBN :
1-4244-0332-4
Type :
conf
DOI :
10.1109/WCICA.2006.1712834
Filename :
1712834
Link To Document :
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